Methods and Systems for Analyzing Nucleic Acid Molecules

ABSTRACT

Processes and materials to detect cancer, transplant rejection, or fetal genetic abnormalities from a biopsy are described. In some cases, cell-free nucleic acids can be sequenced, and the sequencing result can be utilized to detect sequences indicative of a neoplasm, transplant rejection, or fetal genetic abnormality. Detection of somatic variants occurring in phase and/or insertions and deletions (indels) can indicate the presence of cancer, transplant rejection, or fetal genetic abnormalities in a diagnostic scan, and a clinical intervention can be performed.

CROSS-REFERENCE

This application is a continuation-in-part of International Patent Application No. PCT/US2020/059526, filed Nov. 6, 2020, which claims the benefit of U.S. Provisional Patent Application No. 62/931,688, filed Nov. 6, 2019, each of which is entirely incorporated herein by reference.

GOVERNMENT RIGHTS

This invention was made with Government support under CA233975, CA241076, and CA188298 awarded by the National Institutes of Health. The Government has certain rights in the invention.

SEQUENCE LISTING

The instant application contains a Sequence Listing which has been submitted electronically in ASCII format and is hereby incorporated by reference in its entirety. Said ASCII copy, created on Nov. 3, 2020, is named 58626-702_601_SL.txt and is 307,199 bytes in size.

BACKGROUND

Noninvasive blood tests that can detect somatic alterations (e.g., mutated nucleic acids) based on the analysis of cell-free nucleic acids (e.g., cell-free deoxyribonucleic acid (cfDNA) and cell-free ribonucleic acid (cfRNA)) are attractive candidates for cancer screening applications due to the relative ease of obtaining biological specimens (e.g., biological fluids). Circulating tumor nucleic acids (e.g., ctDNA or ctRNA; i.e., nucleic acids derived from cancerous cells) can be sensitive and specific biomarkers in numerous cancer subtypes. However, current methods for minimal residual disease (MRD) detection from ctDNA can be limited by one or more factors, such as low input DNA amounts and high background error rates.

Recent approaches have improved ctDNA MRD performance by tracking multiple somatic mutations with error-suppressed sequencing, resulting in detection limits as low as 4 parts in 100,000 from limited cfDNA input. Detection of residual disease during or after treatment is a powerful tool, with detectable MRD representing an adverse prognostic sign even during radiographic remission. However, current limits of detection may be insufficient to universally detect residual disease in patients destined for disease relapse or progression. This ‘loss of detection’ is exemplified in diffuse large B-cell lymphoma (DLBCL), where ctDNA detection after two cycles of curative-intent therapy is a strong prognostic marker. Despite this, almost one-third of patients experiencing disease progression do not have detectable ctDNA at this landmark, representing ‘false-negative’ tests. Similar false-negative rates in colon cancer and breast cancer have been observed.

SUMMARY

The present disclosure provides methods and systems for analyzing cell-free nucleic acids (e.g., cfDNA, cfRNA) from a subject. Methods and systems of the present disclosure can utilize sequencing results derived from the subject to detect cancer-derived nucleic acids (e.g., ctDNA, ctRNA) for, e.g., disease diagnosis, disease monitoring, or determining treatments for the subject. Methods and systems of the present disclosure can exhibit enhanced sensitivity, specificity and/or reliability of detection of cancer-derived nucleic acids.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence, wherein at least about 10% of the one or more cell-free nucleic acid molecules comprises a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants that are separated by at least one nucleotide; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In some embodiments of any one of the methods disclosed herein, the at least about 10% of the cell-free nucleic acid molecules comprise at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of the one or more cell-free nucleic acid molecules.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and (c) further comprises determining the condition of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and (c) further comprises determining the condition of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) obtaining sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject; (b) processing the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules with a limit of detection of less than about 1 out of 50,000 observations from the sequencing data; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In some embodiments of any one of the methods disclosed herein, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 observations from the sequencing data.

In some embodiments of any one of the methods disclosed herein, each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence. In some embodiments of any one of the methods disclosed herein, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide.

In some embodiments of any one of the methods disclosed herein, the processes (a) to (c) are performed by a computer system.

In some embodiments of any one of the methods disclosed herein, the sequencing data is generated based on nucleic acid amplification. In some embodiments of any one of the methods disclosed herein, the sequencing data is generated based on polymerase chain reaction. In some embodiments of any one of the methods disclosed herein, the sequencing data is generated based on amplicon sequencing.

In some embodiments of any one of the methods disclosed herein, the sequencing data is generated based on next-generation sequencing (NGS). Alternatively, in some embodiments of any one of the methods disclosed herein, the sequencing data is generated based on non-hybridization-based NGS.

In some embodiments of any one of the methods disclosed herein, the sequencing data is generated without use of molecular barcoding of at least a portion of the plurality of cell-free nucleic acid molecules. In some embodiments of any one of the methods disclosed herein, the sequencing data is obtained without use of sample barcoding of at least a portion of the plurality of cell-free nucleic acid molecules.

In some embodiments of any one of the methods disclosed herein, the sequencing data is obtained without in silico removal or suppression of (i) background error or (ii) sequencing error.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and (c) further comprises determining the condition of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method of treating a condition of a subject, the method comprising: (a) identifying the subject for treatment of the condition, wherein the subject has been determined to have the condition based on identification of one or more cell-free nucleic acid molecules from a plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, wherein each of the one or more cell-free nucleic acid molecules identified comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide, and wherein a presence of the plurality of phased variants is indicative of the condition of the subject; and (b) subjecting the subject to the treatment based on the identification in (a).

In some embodiments, the subject has been determined to have the condition based at least in part on one or more insertions or deletions (indels) identified in the one or more cell-free nucleic acid molecules.

In one aspect, the present disclosure provides a method of monitoring a progress of a condition of a subject, the method comprising: (a) determining a first state of the condition of the subject based on identification of a first set of one or more cell-free nucleic acid molecules from a first plurality of cell-free nucleic acid molecules that is obtained or derived from the subject; (b) determining a second state of the condition of the subject based on identification of a second set of one or more cell-free nucleic acid molecules from a second plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, wherein the second plurality of cell-free nucleic acid molecules are obtained from the subject subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject; and (c) determining the progress of the condition based on the first state of the condition and the second state of the condition, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide.

In some embodiments of any one of the methods disclosed herein, the progress of the condition is worsening of the condition.

In some embodiments of any one of the methods disclosed herein, the progress of the condition is at least a partial remission of the condition.

In some embodiments of any one of the methods disclosed herein, a presence of the plurality of phased variants is indicative of the first state or the second state of the condition of the subject.

In some embodiments of any one of the methods disclosed herein, the second plurality of cell-free nucleic acid molecules is obtained from the subject at least about 1 week, at least about 2 weeks, at least about 3 weeks, at least about 4 weeks, at least about 2 months, or at least about 3 months subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject.

In some embodiments of any one of the methods disclosed herein, the subject is subjected to a treatment for the condition (i) prior to obtaining the second plurality of cell-free nucleic acid molecules from the subject and (ii) subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject.

In some embodiments of any one of the methods disclosed herein, the progress of the condition is indicative of minimal residual disease of the condition of the subject. In some embodiments of any one of the methods disclosed herein, the progress of the condition is indicative of tumor burden or cancer burden of the subject.

In some embodiments of any one of the methods disclosed herein, the one or more cell-free nucleic acid molecules are captured from among the plurality of cell-free nucleic acid molecules with a set of nucleic acid probes, wherein the set of nucleic acid probes is configured to hybridize to at least a portion of cell-free nucleic acid molecules comprising one or more genomic regions associated with the condition.

In some embodiments, the subject has been determined to have the condition based at least in part on one or more insertions or deletions (indels) identified in the one or more cell-free nucleic acid molecules.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the plurality of phased variants; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and (c) further comprises determining the condition of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the plurality of phased variants, wherein a limit of detection of the identification step is less than about 1 out of 50,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In some embodiments of any one of the methods disclosed herein, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules.

In some embodiments of any one of the methods disclosed herein, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide.

In some embodiments of any one of the methods disclosed herein, the activatable reporter agent is activated upon hybridization of the individual nucleic acid probe to the plurality of phased variants.

In some embodiments of any one of the methods disclosed herein, the activatable reporter agent is activated upon dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants.

In some embodiments of any one of the methods disclosed herein, the method further comprises mixing (1) the set of nucleic acid probes and (2) the plurality of cell-free nucleic acid molecules.

In some embodiments of any one of the methods disclosed herein, the activatable reporter agent is a fluorophore.

In some embodiments of any one of the methods disclosed herein, analyzing the identified one or more cell-free nucleic acid molecules comprises analyzing (i) the identified one or more cell-free nucleic acid molecules and (ii) other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants as different variables.

In some embodiments of any one of the methods disclosed herein, the analyzing of the identified one or more cell-free nucleic acid molecules is not based on other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants.

In some embodiments of any one of the methods disclosed herein, a number of the plurality of phased variants from the identified one or more cell-free nucleic acid molecules is indicative of the condition of the subject. In some embodiments, a ratio of (i) the number of the plurality of phased variants from the one or more cell-free nucleic acid molecules and (ii) a number of single nucleotide variants (SNVs) from the one or more cell-free nucleic acid molecules is indicative of the condition of the subject.

In some embodiments of any one of the methods disclosed herein, a frequency of the plurality of phased variants in the identified one or more cell-free nucleic acid molecules is indicative of the condition of the subject. In some embodiments, the frequency is indicative of a diseased cell associated with the condition. In some embodiments, the condition is diffuse large B-cell lymphoma, and wherein the frequency is indicative of whether the one or more cell-free nucleic acid molecules are derived from germinal center B-cell (GCB) or activated B-cell (ABC).

In some embodiments of any one of the methods disclosed herein, genomic origin of the identified one or more cell-free nucleic acid molecules is indicative of the condition of the subject.

In some embodiments of any one of the methods disclosed herein, the first and second phased variants are separated by at least 2, at least 3, at least 4, at least 5, at least 6, at least 7, or at least 8 nucleotides. In some embodiments of any one of the methods disclosed herein, the first and second phased variants are separated by at most about 180, at most about 170, at most about 160, at most about 150, or at most about 140 nucleotides.

In some embodiments of any one of the methods disclosed herein, at least about 10%, at least about 20%, at least about 30%, at least about 40%, or at least about 50% of the one or more cell-free nucleic acid molecules comprising a plurality of phased variants comprises a single nucleotide variant (SNV) that is at least 2 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, the plurality of phased variants comprises at least 3, at least 4, at least 5, at least 10, at least 15, at least 20, or at least 25 phased variants within the same cell-free nucleic acid molecule.

In some embodiments of any one of the methods disclosed herein, the one or more cell-free nucleic acid molecules identified comprises at least 2, at least 3, at least 4, at least 5, at least 10, at least 50, at least 100, at least 500, or at least 1,000 cell-free nucleic acid molecules.

In some embodiments of any one of the methods disclosed herein, the reference genomic sequence is derived from a reference cohort. In some embodiments, the reference genomic sequence comprises a consensus sequence from the reference cohort. In some embodiments, the reference genomic sequence comprises at least a portion of hg19 human genome, hg18 genome, hg17 genome, hg16 genome, or hg38 genome.

In some embodiments of any one of the methods disclosed herein, the reference genomic sequence is derived from a sample of the subject.

In some embodiments of any one of the methods disclosed herein, the sample is a healthy sample. In some embodiments, the sample comprises a healthy cell. In some embodiments, the healthy cell comprises a healthy leukocyte.

In some embodiments of any one of the methods disclosed herein, the sample is a diseased sample. In some embodiments, the diseased sample comprises a diseased cell. In some embodiments, the diseased cell comprises a tumor cell. In some embodiments, the diseased sample comprises a solid tumor.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes is designed based on the plurality of phased variants that are identified by comparing (i) sequencing data from a solid tumor, lymphoma, or blood tumor of the subject and (ii) sequencing data from a healthy cell of the subject or a healthy cohort. In some embodiments, the healthy cell is from the subject. In some embodiments, the healthy cell is from the healthy cohort.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes are designed to hybridize to at least a portion of sequences of genomic loci associated with the condition. In some embodiments, the genomic loci associated with the condition are known to exhibit aberrant somatic hypermutation when the subject has the condition.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes are designed to hybridize to at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3.

In some embodiments of any one of the methods disclosed herein, each nucleic acid probe of the set of nucleic acid probes has at least about 70%, at least about 80%, at least about 90% sequence identity, at least about 95% sequence identity, or about 100% sequence identity to a probe sequence selected from Table 6.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes comprises at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, or at least about 90% of probe sequences in Table 6.

In some embodiments of any one of the methods disclosed herein, the method further comprises determining that the subject has the condition or determining a degree or status of the condition of the subject, based on the identified one or more cell-free nucleic acid molecules comprising the plurality of phased variants. In some embodiments, the method further comprises determining that the one or more cell-free nucleic acid molecules are derived from a sample associated with the condition, based on performing a statistical model analysis of the identified one or more cell-free nucleic acid molecules. In some embodiments, the statistical model analysis comprises a Monte Carlo statistical analysis.

In some embodiments of any one of the methods disclosed herein, the method further comprises monitoring a progress of the condition of the subject based on the identified one or more cell-free nucleic acid molecules.

In some embodiments of any one of the methods disclosed herein, the method further comprises performing a different procedure to confirm the condition of the subject. In some embodiments, the different procedure comprises a blood test, genetic test, medical imaging, physical exam, or tissue biopsy.

In some embodiments of any one of the methods disclosed herein, the method further comprises determining a treatment for the condition of the subject based on the identified one or more cell-free nucleic acid molecules.

In some embodiments of any one of the methods disclosed herein, the subject has been subjected to a treatment for the condition prior to (a).

In some embodiments of any one of the methods disclosed herein, the treatment comprises chemotherapy, radiotherapy, chemoradiotherapy, immunotherapy, adoptive cell therapy, hormone therapy, targeted drug therapy, surgery, transplant, transfusion, or medical surveillance.

In some embodiments of any one of the methods disclosed herein, the plurality of cell-free nucleic acid molecules comprise a plurality of cell-free deoxyribonucleic acid (DNA) molecules.

In some embodiments of any one of the methods disclosed herein, condition comprises a disease.

In some embodiments of any one of the methods disclosed herein, the plurality of cell-free nucleic acid molecules are derived from a bodily sample of the subject. In some embodiments, the bodily sample comprises plasma, serum, blood, cerebrospinal fluid, lymph fluid, saliva, urine, or stool.

In some embodiments of any one of the methods disclosed herein, the subject is a mammal. In some embodiments of any one of the methods disclosed herein, the subject is a human.

In some embodiments of any one of the methods disclosed herein, the condition comprises neoplasm, cancer, or tumor. In some embodiments, the condition comprises a solid tumor. In some embodiments, the condition comprises a lymphoma. In some embodiments, the condition comprises a B-cell lymphoma. In some embodiments, the condition comprises a sub-type of B-cell lymphoma selected from the group consisting of diffuse large B-cell lymphoma, follicular lymphoma, Burkitt lymphoma, and B-cell chronic lymphocytic leukemia. In some embodiments of any one of the methods disclosed herein, the condition comprises transplant rejection of or a chromosomal abnormality.

In some embodiments of any one of the methods disclosed herein, the plurality of phased variants have been previously identified as tumor-derived from sequencing a prior tumor sample or cell-free nucleic acid sample.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and (c) further comprises determining the condition of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a composition comprising a bait set comprising a set of nucleic acid probes designed to capture cell-free DNA molecules derived from at least about 5% of genomic regions set forth in (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3.

In some embodiments of any of the compositions disclosed herein, the set of nucleic acid probes are designed to pull down cell-free DNA molecules derived from at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of the genomic regions set forth in (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3.

In some embodiments of any of the compositions disclosed herein, the set of nucleic acid probes are designed to capture the one or more cell-free DNA molecules derived from at most about 10%, at most about 20%, at most about 30%, at most about 40%, at most about 50%, at most about 60%, at most about 70%, at most about 80%, at most about 90%, or about 100% of the genomic regions set forth in (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3.

In some embodiments of any of the compositions disclosed herein, the bait set comprises at most 5, at most 10, at most 50, at most 100, at most 500, at most 1000, or at most 2000 nucleic acid probes.

In some embodiments of any of the compositions disclosed herein, an individual nucleic acid probe of the set of nucleic acid probes comprises a pull-down tag.

In some embodiments of any of the compositions disclosed herein, the pull-down tag comprises a nucleic acid barcode.

In some embodiments of any of the compositions disclosed herein, the pull-down tag comprises biotin.

In some embodiments of any of the compositions disclosed herein, each of the cell-free DNA molecules is between about 100 nucleotides and about 180 nucleotides in length.

In some embodiments of any of the compositions disclosed herein, the genomic regions are associated with a condition.

In some embodiments of any of the compositions disclosed herein, the genomic regions exhibit aberrant somatic hypermutation when a subject has the condition.

In some embodiments of any of the compositions disclosed herein, the condition comprises a B-cell lymphoma. In some embodiments, the condition comprises a sub-type of B-cell lymphoma selected from the group consisting of diffuse large B-cell lymphoma, follicular lymphoma, Burkitt lymphoma, and B-cell chronic lymphocytic leukemia.

In some embodiments of any of the compositions disclosed herein, the composition further comprises a plurality of cell-free DNA molecules obtained or derived from a subject.

In one aspect, the present disclosure provides a method to perform a clinical procedure on an individual, the method comprising: (a) obtaining or having obtained a targeted sequencing result of a collection of cell-free nucleic acid molecules, wherein the collection of cell-free nucleic acid molecules are sourced from a liquid or waste biopsy of an individual, and wherein the targeting sequencing is performed utilizing nucleic acid probes to pull down sequences of genomic loci known to experience aberrant somatic hypermutation in a B-cell cancer; (b) identifying or having identified a plurality of variants in phase within the cell-free nucleic acid sequencing result; (c) determining or having determined, utilizing a statistical model and the identified phased variants, that the cell-free nucleic acid sequencing result contains nucleotides derived from a neoplasm; and (d) performing a clinical procedure on the individual to confirm the presence of the B-cell cancer, based upon determining that the cell-free nucleic acid sequencing result contains nucleic acid sequences likely derived from the B-cell cancer.

In some embodiments of any of the compositions disclosed herein, the biopsy is one of blood, serum, cerebrospinal fluid, lymph fluid, urine, or stool.

In some embodiments of any of the compositions disclosed herein, the genomic loci are selected from (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3.

In some embodiments of any of the compositions disclosed herein, the sequences of the nucleic acid probes are selected from Table 6.

In some embodiments of any of the compositions disclosed herein, the clinical is procedure is a blood test, medical imaging, or a physical exam.

In some embodiments, the method further comprises identifying or having identified one or more insertions or deletions (indels) within the cell-free nucleic acid sequencing result, and determining or having determined, based least in part on the identified one or more indels, that the cell-free nucleic acid sequencing result contains the nucleotides derived from the neoplasm.

In one aspect, the present disclosure provides a method to treat an individual for a B-cell cancer, the method comprising: (a) obtaining or having obtained a targeted sequencing result of a collection of cell-free nucleic acid molecules, wherein the collection of cell-free nucleic acid molecules are sourced from a liquid or waste biopsy of an individual, and wherein the targeting sequencing is performed utilizing nucleic acid probes to pull down sequences of genomic loci known to experience aberrant somatic hypermutation in a B-cell cancer; (b) identifying or having identified a plurality of variants in phase within the cell-free nucleic acid sequencing result; (c) determining or having determined, utilizing a statistical model and the identified phased variants, that the cell-free nucleic acid sequencing result contains nucleotides derived from a neoplasm; and (d) treating the individual to curtail the B-cell cancer, based upon determining that the cell-free nucleic acid sequencing result contains nucleic acid sequences derived from the B-cell cancer.

In some embodiments of any of the compositions disclosed herein, the biopsy is one of blood, serum, cerebrospinal fluid, lymph fluid, urine or stool.

In some embodiments of any of the compositions disclosed herein, the genomic loci are selected from (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3.

In some embodiments of any of the compositions disclosed herein, the sequences of the nucleic acid probes are selected from Table 6.

In some embodiments of any of the compositions disclosed herein, the treatment is chemotherapy, radiotherapy, immunotherapy, hormone therapy, targeted drug therapy, or medical surveillance.

In some embodiments, the method further comprises identifying or having identified one or more insertions or deletions (indels) within the cell-free nucleic acid sequencing result, and determining or having determined, based least in part on the identified one or more indels, that the cell-free nucleic acid sequencing result contains the nucleotides derived from the neoplasm.

In one aspect, the present disclosure provides a method to detect cancerous minimal residual disease in an individual and to treat the individual for a cancer, the method comprising: (a) obtaining or having obtained a targeted sequencing result of a collection of cell-free nucleic acid molecules, wherein the collection of cell-free nucleic acid molecules are sourced from a liquid or waste biopsy of an individual, wherein the liquid or waste biopsy is sourced after a series of treatments in order to detect minimal residual disease, and wherein the targeting sequencing is performed utilizing nucleic acid probes to pull down sequences of genomic loci determined to contain a plurality of variants in phase, as determined by a prior sequencing result on a prior biopsy derived from the cancer; (b) identifying or having identified at least one set of the plurality of variants in phase within the cell-free nucleic acid sequencing result; and (c) treating the individual to curtail the cancer, based upon determining that the cell-free nucleic acid sequencing result contains nucleic acid sequences derived from the cancer.

In some embodiments of any of the compositions disclosed herein, the liquid or waste biopsy is one of blood, serum, cerebrospinal fluid, lymph fluid, urine or stool.

In some embodiments of any of the compositions disclosed herein, the treatment is chemotherapy, radiotherapy, immunotherapy, hormone therapy, targeted drug therapy, or medical surveillance.

In some embodiments, the method further comprises identifying or having identified one or more insertions or deletions (indels) within the cell-free nucleic acid sequencing result, and treating the individual to curtail the cancer, based least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises one or more insertions or deletions (indels) relative to a reference genomic sequence; and (c) analyzing, by the computer system, the one or more indels to determine a condition of the subject.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises one or more insertions or deletions (indels) relative to a reference genomic sequence; and (c) analyzing, by the computer system, the one or more insertions or deletions (indels) to determine a condition of the subject.

In one aspect, the present disclosure provides a method comprising: (a) obtaining sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject; (b) processing the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules with a limit of detection of less than about 1 out of 50,000 observations from the sequencing data, wherein each of the one or more cell-free nucleic acid molecules comprises one or more insertions or deletions (indels) relative to a reference genomic sequence; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In some embodiments, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 observations from the sequencing data. In some embodiments, (a) to (c) are performed by a computer system. In some embodiments, the sequencing data is generated based on nucleic acid amplification. In some embodiments, the sequencing data is generated based on polymerase chain reaction. In some embodiments, the sequencing data is generated based on amplicon sequencing. In some embodiments, the sequencing data is generated based on next-generation sequencing (NGS). In some embodiments, the sequencing data is generated based on non-hybridization-based NGS. In some embodiments, the sequencing data is generated without use of molecular barcoding of at least a portion of the plurality of cell-free nucleic acid molecules. In some embodiments, the sequencing data is obtained without use of sample barcoding of at least a portion of the plurality of cell-free nucleic acid molecules. In some embodiments, the sequencing data is obtained without in silico removal or suppression of (i) background error or (ii) sequencing error.

In one aspect, the present disclosure provides a method of treating a condition of a subject, the method comprising: (a) identifying the subject for treatment of the condition, wherein the subject has been determined to have the condition based on identification of one or more cell-free nucleic acid molecules from a plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, wherein each of the one or more cell-free nucleic acid molecules comprises one or more insertions or deletions (indels) relative to a reference genomic sequence, and wherein a presence of the one or more indels is indicative of the condition of the subject; and (b) subjecting the subject to the treatment based on the identification in (a).

In one aspect, the present disclosure provides a method of monitoring a progress of a condition of a subject, the method comprising: (a) determining a first state of the condition of the subject based on identification of a first set of one or more cell-free nucleic acid molecules from a first plurality of cell-free nucleic acid molecules that is obtained or derived from the subject; (b) determining a second state of the condition of the subject based on identification of a second set of one or more cell-free nucleic acid molecules from a second plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, wherein the second plurality of cell-free nucleic acid molecules are obtained from the subject subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject; and (c) determining the progress of the condition based on the first state of the condition and the second state of the condition, wherein each of the one or more cell-free nucleic acid molecules comprises one or more insertions or deletions (indels) relative to a reference genomic sequence.

In some embodiments, the progress of the condition is worsening of the condition. In some embodiments, the progress of the condition is at least a partial remission of the condition. In some embodiments, a presence of the one or more indels is indicative of the first state or the second state of the condition of the subject. In some embodiments, the second plurality of cell-free nucleic acid molecules is obtained from the subject at least about 1 week, at least about 2 weeks, at least about 3 weeks, at least about 4 weeks, at least about 2 months, or at least about 3 months subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject. In some embodiments, the subject is subjected to a treatment for the condition (i) prior to obtaining the second plurality of cell-free nucleic acid molecules from the subject and (ii) subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject. In some embodiments, the progress of the condition is indicative of minimal residual disease of the condition of the subject. In some embodiments, the progress of the condition is indicative of tumor burden or cancer burden of the subject. In some embodiments, the one or more cell-free nucleic acid molecules are captured from among the plurality of cell-free nucleic acid molecules with a set of nucleic acid probes, wherein the set of nucleic acid probes is configured to hybridize to at least a portion of cell-free nucleic acid molecules comprising one or more genomic regions associated with the condition.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising one or more insertions or deletions (indels) relative to a reference genomic sequence, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the one or more indels and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the one or more indels; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the one or more indels; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising one or more insertions or deletions (indels) relative to a reference genomic sequence, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the one or more indels and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the one or more indels; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the one or more indels, wherein a limit of detection of the identification step is less than about 1 out of 50,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a condition of the subject.

In some embodiments, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules. In some embodiments, the activatable reporter agent is activated upon hybridization of the individual nucleic acid probe to the one or more indels. In some embodiments, the activatable reporter agent is activated upon dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the one or more indels. In some embodiments, the method further comprises mixing (1) the set of nucleic acid probes and (2) the plurality of cell-free nucleic acid molecules. In some embodiments, the activatable reporter agent is a fluorophore. In some embodiments, analyzing the identified one or more cell-free nucleic acid molecules comprises analyzing (i) the identified one or more cell-free nucleic acid molecules and (ii) other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the one or more indels as different variables. In some embodiments, the analyzing of the identified one or more cell-free nucleic acid molecules is not based on other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the one or more indels. In some embodiments, a number of the one or more indels from the identified one or more cell-free nucleic acid molecules is indicative of the condition of the subject. In some embodiments, a ratio of (i) the number of the one or more indels from the one or more cell-free nucleic acid molecules and (ii) a number of single nucleotide variants (SNVs) from the one or more cell-free nucleic acid molecules is indicative of the condition of the subject. In some embodiments, a frequency of the one or more indels in the identified one or more cell-free nucleic acid molecules is indicative of the condition of the subject. In some embodiments, the frequency is indicative of a diseased cell associated with the condition. In some embodiments, the condition is diffuse large B-cell lymphoma, and wherein the frequency is indicative of whether the one or more cell-free nucleic acid molecules are derived from germinal center B-cell (GCB) or activated B-cell (ABC). In some embodiments, genomic origin of the identified one or more cell-free nucleic acid molecules is indicative of the condition of the subject.

In some embodiments, the one or more indels comprises at least 3, at least 4, at least 5, at least 10, at least 15, at least 20, or at least 25 indels within the same cell-free nucleic acid molecule. In some embodiments, the one or more cell-free nucleic acid molecules identified comprises at least 2, at least 3, at least 4, at least 5, at least 10, at least 50, at least 100, at least 500, or at least 1,000 cell-free nucleic acid molecules. In some embodiments, the reference genomic sequence is derived from a reference cohort. In some embodiments, the reference genomic sequence comprises a consensus sequence from the reference cohort. In some embodiments, the reference genomic sequence comprises at least a portion of hg19 human genome, hg18 genome, hg17 genome, hg16 genome, or hg38 genome. In some embodiments, the reference genomic sequence is derived from a sample of the subject. In some embodiments, the sample is a healthy sample. In some embodiments, the sample comprises a healthy cell. In some embodiments, the healthy cell comprises a healthy leukocyte. In some embodiments, the sample is a diseased sample. In some embodiments, the diseased sample comprises a diseased cell. In some embodiments, the diseased cell comprises a tumor cell. In some embodiments, the diseased sample comprises a solid tumor. In some embodiments, the set of nucleic acid probes is designed based on the one or more indels that are identified by comparing (i) sequencing data from a solid tumor, lymphoma, or blood tumor of the subject and (ii) sequencing data from a healthy cell of the subject or a healthy cohort. In some embodiments, the healthy cell is from the subject. In some embodiments, the healthy cell is from the healthy cohort. In some embodiments, the set of nucleic acid probes are designed to hybridize to at least a portion of sequences of genomic loci associated with the condition. In some embodiments, the genomic loci associated with the condition are known to exhibit aberrant somatic hypermutation when the subject has the condition.

In some embodiments, the set of nucleic acid probes are designed to hybridize to at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of (i) the genomic regions identified in Table 1, or (ii) the genomic regions identified in Table 3. In some embodiments, each nucleic acid probe of the set of nucleic acid probes has at least about 70%, at least about 80%, at least about 90% sequence identity, at least about 95% sequence identity, or about 100% sequence identity to a probe sequence selected from Table 6. In some embodiments, the set of nucleic acid probes comprises at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, or at least about 90% of probe sequences in Table 6.

In some embodiments, the method further comprises determining that the subject has the condition or determining a degree or status of the condition of the subject, based on the identified one or more cell-free nucleic acid molecules comprising the one or more indels. In some embodiments, the method further comprises determining that the one or more cell-free nucleic acid molecules are derived from a sample associated with the condition, based on performing a statistical model analysis of the identified one or more cell-free nucleic acid molecules. In some embodiments, the statistical model analysis comprises a Monte Carlo statistical analysis. In some embodiments, the method further comprises monitoring a progress of the condition of the subject based on the identified one or more cell-free nucleic acid molecules. In some embodiments, the method further comprises performing a different procedure to confirm the condition of the subject. In some embodiments, the different procedure comprises a blood test, genetic test, medical imaging, physical exam, or tissue biopsy. In some embodiments, the method further comprises determining a treatment for the condition of the subject based on the identified one or more cell-free nucleic acid molecules. In some embodiments, the subject has been subjected to a treatment for the condition prior to (a). In some embodiments, the treatment comprises chemotherapy, radiotherapy, chemoradiotherapy, immunotherapy, adoptive cell therapy, hormone therapy, targeted drug therapy, surgery, transplant, transfusion, or medical surveillance. In some embodiments, the plurality of cell-free nucleic acid molecules comprise a plurality of cell-free deoxyribonucleic acid (DNA) molecules. In some embodiments, the condition comprises a disease. In some embodiments, the plurality of cell-free nucleic acid molecules are derived from a bodily sample of the subject. In some embodiments, the bodily sample comprises plasma, serum, blood, cerebrospinal fluid, lymph fluid, saliva, urine, or stool. In some embodiments, the subject is a mammal. In some embodiments, the subject is a human. In some embodiments, the condition comprises neoplasm, cancer, or tumor. In some embodiments, the condition comprises a solid tumor. In some embodiments, the condition comprises a lymphoma. In some embodiments, the condition comprises a B-cell lymphoma. In some embodiments, the condition comprises a sub-type of B-cell lymphoma selected from the group consisting of diffuse large B-cell lymphoma, follicular lymphoma, Burkitt lymphoma, and B-cell chronic lymphocytic leukemia. In some embodiments, the one or more indels have been previously identified as tumor-derived from sequencing a prior tumor sample or cell-free nucleic acid sample.

In one aspect, the present disclosure provides a method to perform a clinical procedure on an individual, the method comprising: obtaining or having obtained a targeted sequencing result of a collection of cell-free nucleic acid molecules, wherein the collection of cell-free nucleic acid molecules are sourced from a liquid or waste biopsy of an individual, and wherein the targeting sequencing is performed utilizing nucleic acid probes to pull down sequences of genomic loci known to experience aberrant somatic hypermutation in a B-cell cancer; identifying or having identified one or more insertions or deletions (indels) within the cell-free nucleic acid sequencing result; determining or having determined, utilizing a statistical model and the identified one or more indels, that the cell-free nucleic acid sequencing result contains nucleotides derived from a neoplasm; and performing a clinical procedure on the individual to confirm the presence of the B-cell cancer, based upon determining that the cell-free nucleic acid sequencing result contains nucleic acid sequences likely derived from the B-cell cancer.

In some embodiments, the biopsy is one of blood, serum, cerebrospinal fluid, lymph fluid, urine, or stool. In some embodiments, the genomic loci are selected from (i) the genomic regions identified in Table 1, or (ii) the genomic regions identified in Table 3. In some embodiments, the sequences of the nucleic acid probes are selected from Table 6. In some embodiments, the clinical is procedure is a blood test, medical imaging, or a physical exam.

In one aspect, the present disclosure provides a method to treat an individual for a B-cell cancer, the method comprising: obtaining or having obtained a targeted sequencing result of a collection of cell-free nucleic acid molecules, wherein the collection of cell-free nucleic acid molecules are sourced from a liquid or waste biopsy of an individual, and wherein the targeting sequencing is performed utilizing nucleic acid probes to pull down sequences of genomic loci known to experience aberrant somatic hypermutation in a B-cell cancer; identifying or having identified one or more insertions or deletions (indels) within the cell-free nucleic acid sequencing result; determining or having determined, utilizing a statistical model and the identified one or more indels, that the cell-free nucleic acid sequencing result contains nucleotides derived from a neoplasm; and treating the individual to curtail the B-cell cancer, based upon determining that the cell-free nucleic acid sequencing result contains nucleic acid sequences derived from the B-cell cancer.

In some embodiments, the biopsy is one of blood, serum, cerebrospinal fluid, lymph fluid, urine or stool. In some embodiments, the genomic loci are selected from (i) the genomic regions identified in Table 1, or (ii) the genomic regions identified in Table 3. In some embodiments, the sequences of the nucleic acid probes are selected from Table 6. In some embodiments, the treatment is chemotherapy, radiotherapy, immunotherapy, hormone therapy, targeted drug therapy, or medical surveillance.

In one aspect, the present disclosure provides a method to detect cancerous minimal residual disease in an individual and to treat the individual for a cancer, the method comprising: obtaining or having obtained a targeted sequencing result of a collection of cell-free nucleic acid molecules, wherein the collection of cell-free nucleic acid molecules are sourced from a liquid or waste biopsy of an individual, wherein the liquid or waste biopsy is sourced after a series of treatments in order to detect minimal residual disease, and wherein the targeting sequencing is performed utilizing nucleic acid probes to pull down sequences of genomic loci determined to contain one or more insertions or deletions (indels), as determined by a prior sequencing result on a prior biopsy derived from the cancer; identifying or having identified at least one set of the one or more indels within the cell-free nucleic acid sequencing result; and treating the individual to curtail the cancer, based upon determining that the cell-free nucleic acid sequencing result contains nucleic acid sequences derived from the cancer.

In some embodiments, the liquid or waste biopsy is one of blood, serum, cerebrospinal fluid, lymph fluid, urine or stool. In some embodiments, the treatment is chemotherapy, radiotherapy, immunotherapy, hormone therapy, targeted drug therapy, or medical surveillance.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject who has received an organ or tissue transplant; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence, wherein at least about 10% of the one or more cell-free nucleic acid molecules comprises a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants that are separated by at least one nucleotide; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an extent of transplant rejection of the subject.

In some embodiments, the at least about 10% of the cell-free nucleic acid molecules comprise at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of the one or more cell-free nucleic acid molecules. In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the extent of transplant rejection of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject who has received an organ or tissue transplant; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an extent of transplant rejection of the subject.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the extent of transplant rejection of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) obtaining sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject who has received an organ or tissue transplant; (b) processing the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules with a limit of detection of less than about 1 out of 50,000 observations from the sequencing data; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an extent of transplant rejection of the subject.

In some embodiments, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 observations from the sequencing data. In some embodiments, each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence. In some embodiments, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide. In some embodiments, (a) to (c) are performed by a computer system. In some embodiments, the sequencing data is generated based on nucleic acid amplification. In some embodiments, the sequencing data is generated based on polymerase chain reaction. In some embodiments, the sequencing data is generated based on amplicon sequencing. In some embodiments, the sequencing data is generated based on next-generation sequencing (NGS). In some embodiments, the sequencing data is generated based on non-hybridization-based NGS. In some embodiments, the sequencing data is generated without use of molecular barcoding of at least a portion of the plurality of cell-free nucleic acid molecules. In some embodiments, the sequencing data is obtained without use of sample barcoding of at least a portion of the plurality of cell-free nucleic acid molecules. In some embodiments, the sequencing data is obtained without in silico removal or suppression of (i) background error or (ii) sequencing error. In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence or the absence of the transplant rejection of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method of treating a transplant rejection of a subject who has received an organ or tissue transplant, the method comprising: (a) identifying the subject for treatment of the transplant rejection, wherein the subject has been determined to have the transplant rejection based on identification of one or more cell-free nucleic acid molecules from a plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, wherein each of the one or more cell-free nucleic acid molecules identified comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide, and wherein a presence of the plurality of phased variants is indicative of the transplant rejection of the subject; and (b) subjecting the subject to the treatment based on the identification in (a).

In some embodiments, the subject has been determined to have the transplant rejection based at least in part on one or more insertions or deletions (indels) identified in the one or more cell-free nucleic acid molecules.

In one aspect, the present disclosure provides a method of monitoring a subject who has received an organ or tissue transplant for a presence, an absence, or an extent of transplant rejection, the method comprising: (a) determining a first state of the presence, the absence, or the extent of transplant rejection of the subject based on identification of a first set of one or more cell-free nucleic acid molecules from a first plurality of cell-free nucleic acid molecules that is obtained or derived from the subject; (b) determining a second state of the presence, the absence, or the extent of transplant rejection of the subject based on identification of a second set of one or more cell-free nucleic acid molecules from a second plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, wherein the second plurality of cell-free nucleic acid molecules are obtained from the subject subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject; and (c) determining a transplant rejection status of the subject based on the first state and the second state, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide.

In some embodiments, the transplant rejection status is at least a partial transplant rejection. In some embodiments, a presence of the plurality of phased variants is indicative of the first state or the second state. In some embodiments, the second plurality of cell-free nucleic acid molecules is obtained from the subject at least about 1 week, at least about 2 weeks, at least about 3 weeks, at least about 4 weeks, at least about 2 months, or at least about 3 months subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject. In some embodiments, the subject is subjected to a treatment for the transplant rejection (i) prior to obtaining the second plurality of cell-free nucleic acid molecules from the subject and (ii) subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject. In some embodiments, the one or more cell-free nucleic acid molecules are captured from among the plurality of cell-free nucleic acid molecules with a set of nucleic acid probes, wherein the set of nucleic acid probes is configured to hybridize to at least a portion of cell-free nucleic acid molecules comprising one or more genomic regions associated with the transplant rejection. In some embodiments, the subject has been determined to have the presence or the absence of the transplant rejection based at least in part on one or more insertions or deletions (indels) identified in the one or more cell-free nucleic acid molecules.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject who has received an organ or tissue transplant, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the plurality of phased variants; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an extent of transplant rejection of the subject.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence or the absence of the transplant rejection of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject who has received an organ or tissue transplant, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the plurality of phased variants, wherein a limit of detection of the identification step is less than about 1 out of 50,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an extent of transplant rejection of the subject.

In some embodiments, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules. In some embodiments, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide. In some embodiments, the activatable reporter agent is activated upon hybridization of the individual nucleic acid probe to the plurality of phased variants. In some embodiments, the activatable reporter agent is activated upon dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants. In some embodiments, the method further comprises mixing (1) the set of nucleic acid probes and (2) the plurality of cell-free nucleic acid molecules. In some embodiments, the activatable reporter agent is a fluorophore. In some embodiments, analyzing the identified one or more cell-free nucleic acid molecules comprises analyzing (i) the identified one or more cell-free nucleic acid molecules and (ii) other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants as different variables. In some embodiments, the analyzing of the identified one or more cell-free nucleic acid molecules is not based on other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants. In some embodiments, a number of the plurality of phased variants from the identified one or more cell-free nucleic acid molecules is indicative of the presence, the absence, or the extent of transplant rejection of the subject. In some embodiments, a ratio of (i) the number of the plurality of phased variants from the one or more cell-free nucleic acid molecules and (ii) a number of single nucleotide variants (SNVs) from the one or more cell-free nucleic acid molecules is indicative of the presence, the absence, or the extent of transplant rejection of the subject. In some embodiments, a frequency of the plurality of phased variants in the identified one or more cell-free nucleic acid molecules is indicative of the presence or the absence of the transplant rejection of the subject. In some embodiments, the frequency is indicative of a diseased cell associated with the presence, the absence, or the extent of transplant rejection. In some embodiments, genomic origin of the identified one or more cell-free nucleic acid molecules is indicative of the presence or the absence of the transplant rejection of the subject. In some embodiments, the first and second phased variants are separated by at least 2, at least 3, at least 4, at least 5, at least 6, at least 7, or at least 8 nucleotides. In some embodiments, the first and second phased variants are separated by at most about 180, at most about 170, at most about 160, at most about 150, or at most about 140 nucleotides.

In some embodiments, at least about 10%, at least about 20%, at least about 30%, at least about 40%, or at least about 50% of the one or more cell-free nucleic acid molecules comprising a plurality of phased variants comprises a single nucleotide variant (SNV) that is at least 2 nucleotides away from an adjacent SNV. In some embodiments, the plurality of phased variants comprises at least 3, at least 4, at least 5, at least 10, at least 15, at least 20, or at least 25 phased variants within the same cell-free nucleic acid molecule. In some embodiments, the one or more cell-free nucleic acid molecules identified comprises at least 2, at least 3, at least 4, at least 5, at least 10, at least 50, at least 100, at least 500, or at least 1,000 cell-free nucleic acid molecules. In some embodiments, the reference genomic sequence is derived from a reference cohort. In some embodiments, the reference genomic sequence comprises a consensus sequence from the reference cohort. In some embodiments, the reference genomic sequence comprises at least a portion of hg19 human genome, hg18 genome, hg17 genome, hg16 genome, or hg38 genome. In some embodiments, the reference genomic sequence is derived from a sample of the subject. In some embodiments, the sample is a healthy sample. In some embodiments, the sample comprises a healthy cell. In some embodiments, the healthy cell comprises a healthy leukocyte. In some embodiments, the sample is a diseased sample. In some embodiments, the diseased sample comprises a diseased cell. In some embodiments, the healthy cell is from the subject. In some embodiments, the healthy cell is from the healthy cohort. In some embodiments, the set of nucleic acid probes are designed to hybridize to at least a portion of sequences of genomic loci associated with the presence or the absence of the transplant rejection. In some embodiments, the genomic loci associated with the presence, the absence, or the extent of transplant rejection are known to exhibit aberrant somatic hypermutation when the subject has the transplant rejection.

In some embodiments, the set of nucleic acid probes are designed to hybridize to at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3. In some embodiments, each nucleic acid probe of the set of nucleic acid probes has at least about 70%, at least about 80%, at least about 90% sequence identity, at least about 95% sequence identity, or about 100% sequence identity to a probe sequence selected from Table 6. In some embodiments, the set of nucleic acid probes comprises at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, or at least about 90% of probe sequences in Table 6. In some embodiments, the method further comprises determining the presence or the absence of the transplant rejection or determining a degree or status thereof, based on the identified one or more cell-free nucleic acid molecules comprising the plurality of phased variants. In some embodiments, the method further comprises determining that the one or more cell-free nucleic acid molecules are derived from a sample associated with the presence or the absence of the transplant rejection, based on performing a statistical model analysis of the identified one or more cell-free nucleic acid molecules. In some embodiments, the statistical model analysis comprises a Monte Carlo statistical analysis. In some embodiments, the method further comprises monitoring a progress of the presence, the absence, or the extent of transplant rejection of the subject based on the identified one or more cell-free nucleic acid molecules. In some embodiments, the method further comprises performing a different procedure to confirm the presence, the absence, or the extent of transplant rejection of the subject. In some embodiments, the different procedure comprises a blood test, genetic test, medical imaging, physical exam, or tissue biopsy. In some embodiments, the method further comprises determining a treatment for the transplant rejection of the subject based on the identified one or more cell-free nucleic acid molecules. In some embodiments, the subject has been subjected to a treatment for the transplant rejection prior to (a). In some embodiments, the plurality of cell-free nucleic acid molecules comprise a plurality of cell-free deoxyribonucleic acid (DNA) molecules. In some embodiments, the plurality of cell-free nucleic acid molecules are derived from a bodily sample of the subject. In some embodiments, the bodily sample comprises plasma, serum, blood, cerebrospinal fluid, lymph fluid, saliva, urine, or stool. In some embodiments, the subject is a mammal. In some embodiments, the subject is a human. In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the extent of transplant rejection of the subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a pregnant subject; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence, wherein at least about 10% of the one or more cell-free nucleic acid molecules comprises a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants that are separated by at least one nucleotide; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject.

In some embodiments, the at least about 10% of the cell-free nucleic acid molecules comprise at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of the one or more cell-free nucleic acid molecules. In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based at least in part on the identified one or more indels. In some embodiments, the genetic abnormality is a chromosomal aneuploidy. In some embodiments, the chromosomal aneuploidy is in chromosome 13, 18, 21, X, or Y.

In one aspect, the present disclosure provides a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a pregnant subject; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based at least in part on the identified one or more indels. In some embodiments, the genetic abnormality is a chromosomal aneuploidy. In some embodiments, the chromosomal aneuploidy is in chromosome 13, 18, 21, X, or Y.

In one aspect, the present disclosure provides a method comprising: (a) obtaining sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a pregnant subject; (b) processing the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules with a limit of detection of less than about 1 out of 50,000 observations from the sequencing data; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject.

In some embodiments, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 observations from the sequencing data. In some embodiments, each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence. In some embodiments, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide. In some embodiments, (a) to (c) are performed by a computer system. In some embodiments, the method of any one of claims 309-313, wherein the sequencing data is generated based on nucleic acid amplification. In some embodiments, the sequencing data is generated based on polymerase chain reaction. In some embodiments, the sequencing data is generated based on amplicon sequencing. In some embodiments, the sequencing data is generated based on next-generation sequencing (NGS). In some embodiments, the sequencing data is generated based on non-hybridization-based NGS. In some embodiments, the sequencing data is generated without use of molecular barcoding of at least a portion of the plurality of cell-free nucleic acid molecules. In some embodiments, the sequencing data is obtained without use of sample barcoding of at least a portion of the plurality of cell-free nucleic acid molecules. In some embodiments, the sequencing data is obtained without in silico removal or suppression of (i) background error or (ii) sequencing error. In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based at least in part on the identified one or more indels. In some embodiments, the genetic abnormality is a chromosomal aneuploidy. In some embodiments, the chromosomal aneuploidy is in chromosome 13, 18, 21, X, or Y.

In one aspect, the present disclosure provides a method of monitoring a pregnant subject for a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject, the method comprising: (a) determining a first state of the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based on identification of a first set of one or more cell-free nucleic acid molecules from a first plurality of cell-free nucleic acid molecules that is obtained or derived from the pregnant subject; (b) determining a second state of the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based on identification of a second set of one or more cell-free nucleic acid molecules from a second plurality of cell-free nucleic acid molecules that is obtained or derived from the pregnant subject, wherein the second plurality of cell-free nucleic acid molecules are obtained from the pregnant subject subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the pregnant subject; and (c) determining the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based on the first state and the second state, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide.

In some embodiments, the transplant rejection status is at least a partial transplant rejection. In some embodiments, a presence of the plurality of phased variants is indicative of the first state or the second state. In some embodiments, the second plurality of cell-free nucleic acid molecules is obtained from the pregnant subject at least about 1 week, at least about 2 weeks, at least about 3 weeks, at least about 4 weeks, at least about 2 months, or at least about 3 months subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the pregnant subject. In some embodiments, the one or more cell-free nucleic acid molecules are captured from among the plurality of cell-free nucleic acid molecules with a set of nucleic acid probes, wherein the set of nucleic acid probes is configured to hybridize to at least a portion of cell-free nucleic acid molecules comprising one or more genomic regions associated with the genetic abnormality. In some embodiments, the fetus has been determined to have the presence, the absence, or the elevated risk of the genetic abnormality based at least in part on one or more insertions or deletions (indels) identified in the one or more cell-free nucleic acid molecules.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a pregnant subject, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the plurality of phased variants; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject.

In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the elevated risk of the genetic abnormality based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a method comprising: (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules that is obtained or derived from a pregnant subject, wherein an individual nucleic acid probe of the set of nucleic acid probes is designed to hybridize to at least a portion of a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence, and wherein the individual nucleic acid probe comprises an activatable reporter agent, activation of the activatable reporter agent being selected from the group consisting of: (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants; (b) detecting the activatable reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises the plurality of phased variants, wherein a limit of detection of the identification step is less than about 1 out of 50,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules; and (c) analyzing the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject.

In some embodiments, the limit of detection of the identification step is less than about 1 out of 100,000, less than about 1 out of 500,000, less than about 1 out of 1,000,000, less than about 1 out of 1,500,000, or less than about 1 out of 2,000,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules. In some embodiments, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide. In some embodiments, the activatable reporter agent is activated upon hybridization of the individual nucleic acid probe to the plurality of phased variants. In some embodiments, the activatable reporter agent is activated upon dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants. In some embodiments, the method further comprises mixing (1) the set of nucleic acid probes and (2) the plurality of cell-free nucleic acid molecules. In some embodiments, the activatable reporter agent is a fluorophore. In some embodiments, analyzing the identified one or more cell-free nucleic acid molecules comprises analyzing (i) the identified one or more cell-free nucleic acid molecules and (ii) other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants as different variables. In some embodiments, the analyzing of the identified one or more cell-free nucleic acid molecules is not based on other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants. In some embodiments, a number of the plurality of phased variants from the identified one or more cell-free nucleic acid molecules is indicative of the genetic abnormality. In some embodiments, a ratio of (i) the number of the plurality of phased variants from the one or more cell-free nucleic acid molecules and (ii) a number of single nucleotide variants (SNVs) from the one or more cell-free nucleic acid molecules is indicative of the genetic abnormality. In some embodiments, a frequency of the plurality of phased variants in the identified one or more cell-free nucleic acid molecules is indicative of the genetic abnormality. In some embodiments, genomic origin of the identified one or more cell-free nucleic acid molecules is indicative of the genetic abnormality. In some embodiments, the first and second phased variants are separated by at least 2, at least 3, at least 4, at least 5, at least 6, at least 7, or at least 8 nucleotides. In some embodiments, the first and second phased variants are separated by at most about 180, at most about 170, at most about 160, at most about 150, or at most about 140 nucleotides.

In some embodiments, at least about 10%, at least about 20%, at least about 30%, at least about 40%, or at least about 50% of the one or more cell-free nucleic acid molecules comprising a plurality of phased variants comprises a single nucleotide variant (SNV) that is at least 2 nucleotides away from an adjacent SNV. In some embodiments, the plurality of phased variants comprises at least 3, at least 4, at least 5, at least 10, at least 15, at least 20, or at least 25 phased variants within the same cell-free nucleic acid molecule. In some embodiments, the one or more cell-free nucleic acid molecules identified comprises at least 2, at least 3, at least 4, at least 5, at least 10, at least 50, at least 100, at least 500, or at least 1,000 cell-free nucleic acid molecules. In some embodiments, the reference genomic sequence is derived from a reference cohort. In some embodiments, the reference genomic sequence comprises a consensus sequence from the reference cohort. In some embodiments, the reference genomic sequence comprises at least a portion of hg19 human genome, hg18 genome, hg17 genome, hg16 genome, or hg38 genome. In some embodiments, the reference genomic sequence is derived from a sample of the pregnant subject. In some embodiments, the sample is a healthy sample. In some embodiments, the sample comprises a healthy cell. In some embodiments, the sample is a diseased sample. In some embodiments, the diseased sample comprises a diseased cell. In some embodiments, the healthy cell is from the pregnant subject. In some embodiments, the healthy cell is from the healthy cohort. In some embodiments, the set of nucleic acid probes are designed to hybridize to at least a portion of sequences of genomic loci associated with the genetic abnormality.

In some embodiments, the set of nucleic acid probes are designed to hybridize to at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, or about 100% of (i) the genomic regions identified in Table 1, (ii) the genomic regions identified in Table 3, or (iii) the genomic regions identified to have a plurality of phased variants in Table 3. In some embodiments, each nucleic acid probe of the set of nucleic acid probes has at least about 70%, at least about 80%, at least about 90% sequence identity, at least about 95% sequence identity, or about 100% sequence identity to a probe sequence selected from Table 6. In some embodiments, the set of nucleic acid probes comprises at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, or at least about 90% of probe sequences in Table 6. In some embodiments, the method further comprises determining the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject, based on the identified one or more cell-free nucleic acid molecules comprising the plurality of phased variants. In some embodiments, the method further comprises determining that the one or more cell-free nucleic acid molecules are derived from a sample associated with the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject, based on performing a statistical model analysis of the identified one or more cell-free nucleic acid molecules. In some embodiments, the statistical model analysis comprises a Monte Carlo statistical analysis. In some embodiments, the method further comprises monitoring a progress of the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based on the identified one or more cell-free nucleic acid molecules. In some embodiments, the method further comprises performing a different procedure to confirm the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject. In some embodiments, the different procedure comprises a blood test, genetic test, medical imaging, physical exam, or tissue biopsy. In some embodiments, the plurality of cell-free nucleic acid molecules comprise a plurality of cell-free deoxyribonucleic acid (DNA) molecules. In some embodiments, the plurality of cell-free nucleic acid molecules are derived from a bodily sample of the pregnant subject. In some embodiments, the bodily sample comprises plasma, serum, blood, cerebrospinal fluid, lymph fluid, saliva, urine, or stool. In some embodiments, the pregnant subject is a mammal. In some embodiments, the pregnant subject is a human. In some embodiments, (b) further comprises identifying one or more insertions or deletions (indels) in the one or more cell-free nucleic acid molecules, and wherein (c) further comprises determining the presence, the absence, or the elevated risk of the genetic abnormality of the fetus of the pregnant subject based at least in part on the identified one or more indels.

In one aspect, the present disclosure provides a computer program product comprising a non-transitory computer-readable medium having computer-executable code encoded therein, the computer-executable code adapted to be executed to implement any one of the methods disclosed herein.

In one aspect, the present disclosure provides a system comprising one or more computer processors and computer memory coupled thereto, wherein the computer memory comprises machine executable code that, upon execution by the one or more computer processors, implements any one of the methods disclosed herein.

Additional aspects and advantages of the present disclosure will become readily apparent to those skilled in this art from the following detailed description, wherein only illustrative embodiments of the present disclosure are shown and described. As will be realized, the present disclosure is capable of other and different embodiments, and its several details are capable of modifications in various obvious respects, all without departing from the disclosure. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.

INCORPORATION BY REFERENCE

All publications, patents, and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, or patent application was specifically and individually indicated to be incorporated by reference. To the extent publications and patents or patent applications incorporated by reference contradict the disclosure contained in the specification, the specification is intended to supersede and/or take precedence over any such contradictory material.

BRIEF DESCRIPTION OF THE DRAWINGS

Various features of the invention are set forth with particularity in the appended claims. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings (also “Figure” and “FIG.” herein), of which:

FIGS. 1A-1E illustrate discovery of phased variants and their mutational signatures via analysis of whole-genome sequencing data. FIG. 1A. is a cartoon depicting the difference between detection of a single nucleotide variant (SNV) (top) and multiple variants ‘in-phase’ (phased variants, PVs; bottom) on individual cell-free DNA molecules. In theory, detection of a PV is a more specific event than detection of an isolated SNV. FIG. 1B. is a scatter plot showing the distribution of the number of PVs from WGS data for 24 different histologies of cancer, normalized by the total number of SNVs. Bars show the median value and interquartile range. (FL-NHL, follicular lymphoma; DLBCL-NHL, diffuse large B-cell lymphoma; Burkitt-NHL, Burkitt lymphoma; Lung-SCC, squamous cell lung cancer; Lung-Adeno, lung adenocarcinoma; Kidney-RCC, renal cell carcinoma; Bone-Osteosarc, osteosarcoma; Liver-HCC, hepatocellular carcinoma; Breast-Adeno, breast adenocarcinoma; Panc-Adeno, pancreatic adenocarcinoma; Head-SCC, head and neck squamous cell carcinoma; Ovary-Adeno, ovarian adenocarcinoma; Eso-Adeno, esophageal adenocarcinoma; Uterus-Adeno, uterine adenocarcinoma; Stomach-Adeno, stomach adenocarcinoma; CLL, chronic lymphocytic leukemia; ColoRect-Adeno, colorectal adenocarcinoma; Prost-Adeno, prostate adenocarcinoma; CNS-GBM, glioblastoma multiforme; Panc-Endocrine, pancreatic neuroendocrine tumor; Thy-Adeno, thyroid adenocarcinoma; CNS-PiloAstro, piloastrocytoma; CNS-Medullo, medulloblastoma.) FIG. 1C. is a heatmap demonstrating the enrichment in single base substitution (SBS) mutational signatures for PVs versus single SNVs across multiple cancer types. Blue represents signatures which are enriched in PVs in specific histologies; darker gray represents signatures where un-phased, single SNVs are enriched; and red represents SNVs occurring in isolation. Only signatures which have a significant difference between PVs and unphased SNVs after correcting for multiple hypotheses are shown; other signatures are grey. Signatures associated with smoking, AID/AICDA, and APOBEC are indicated. FIG. 1D. demonstrate bar plots showing the distribution of PVs occurring in stereotyped regions across the genome in B-lymphoid malignancies and lung adenocarcinoma. In this plot, the genome was divided into 1000 bp bins, and the fraction of samples of a given histology with a PV in each 1000 bp bin was calculated. Only bins that have at least a 2 percent recurrence frequency in any cancer subtype are shown. Key genomic loci are also labeled. FIG. 1E. is a comparison of duplex sequencing to phased variant sequencing. A schema comparing error-suppressed sequencing by duplex sequencing vs. recovery of phased variants. In duplex sequencing, recovery of a single SNV observed on both strands of an original DNA double-helix (i.e., in trans) is required. This requires independent recovery of two molecules by sequencing as the plus and minus strands of the original DNA molecule go through library preparation and PCR independently. In contrast, recovery of PVs requires multiple SNVs observed on the same single strand of DNA (i.e., in cis). Thus, recovery of only the plus or the minus strand (rather than both) is sufficient for identification of PVs.

FIGS. 2A-2F illustrate design, validation, and application of phased variant enrichment sequencing. FIG. 2A is a schematic of the design for PhasED-Seq. WGS data from DLBCL tumor samples were aggregated (left), and areas of recurrent putative PVs were identified (middle). An assay capturing the genomic regions most recurrently containing PVs was then designed (right), resulting in an ˜7500× enrichment in PVs compared to WGS. The top right panel shows the in silico expected number of PVs per case per kilobase of panel size (y-axis) for increasing panel sizes (x-axis). The dashed line shows the selected regions in the PhasED-Seq panel. The bottom rightpanel shows the total number of expected PVs per case (y-axis, assessed in silico from WGS data, for increasing panel sizes (y-axis). The dark area shows the selected regions in the PhasED-Seq panel. FIG. 2B illustrate two panels showing the yield of SNVs (left) and PVs (right) for sequencing tumor DNA and matched germline by a previously established lymphoma CAPP-Seq panel or PhasED-Seq; values are assessed in silico by limiting WGS to the targeted space of interest. PVs reported in the right panel include doublet, triplet, and quadruplet phased events. FIG. 2C shows the yield of SNVs (left) and PVs (right) from experimental sequencing of tumor and/or cell-free DNA from CAPP-Seq versus PhasED-Seq, similar to FIG. 2B. FIG. 2D is a scatterplot showing the frequency of PVs by genomic location (in 1000 bp bins) for patients with DLBCL, identified either by WGS or identified by PhasED-Seq. PVs in IGH, BCL2, MYC, and BCL6 are highlighted. FIG. 2E illustrate scatterplots comparing the frequency of PVs by genomic location (in 50 bp bins) for patients with different types of lymphomas. The colored circles show the relative frequency of PVs in 50 bp bins from a specific gene of interest; the other (gray) circles show the relative frequency of PVs in 50 bp bins from the remainder of the PhasED-Seq sequencing panel. FIG. 2F illustrate volcano plots summarizing the difference in relative frequency of PVs in specific genetic loci between types of lymphoma, including ABC-DLBCL vs. GCB-DLBCL (dark Gray, left); PMBCL vs DLBCL (dark gray, middle); and HL vs. DLBCL (dark gray, right). The x-axis demonstrates the relative enrichment in PVs in a specific locus, while the y-axis demonstrates the statistical significance of this association. (Example 10).

FIGS. 3A-3I illustrate technical performance of PhasED-Seq for disease detection. FIG. 3A illustrates bar plot showing the performance of hybrid capture sequencing for recovery of synthetic 150 bp oligonucleotides from two loci (MYC and BCL6) with increasing degree of mutation/non-reference bases. Error bars represent the 95% confidence interval (n=3 replicates of each condition in distinct samples). FIG. 3B illustrates plot demonstrating the background error-rate (Example 10) for different types of error-suppression from 12 healthy control cell-free DNA samples sequenced on the PhasED-Seq panel. ‘PhasED-Seq 2×’ or ‘doublets’ represents detection of two mutations in-phase on the same DNA molecule; ‘PhasED-Seq 3×’ or ‘triplets’ represents detection of three mutations in-phase on the same DNA molecule. FIG. 3C illustrates bar plot showing the depth of unique molecular recovery (e.g., depth after barcode-mediated PCR duplicate removal) from sequencing data from 12 cell-free DNA samples for different types of error-suppression, including barcode deduplication, duplex sequencing, and recovery of PVs of increasing maximal distance between SNVs in-phase. FIG. 3D illustrates bar plot showing the cumulative fraction of PVs that have a maximal distance between SNVs less than the number of base-pairs shown on the x-axis. FIG. 3E illustrates a plot demonstrating the results of a limiting dilution series simulating cell-free DNA samples containing patient-specific tumor fractions of 1×10⁻³ to 0.5×10⁻⁶; cfDNA from 3 independent patients samples were used in each dilution. The same sequencing data was analyzed using a variety of error-suppression methods for recovery of expected tumor fractions, including iDES, duplex sequencing, and PhasED-Seq (both for recovery of doublet and triplet molecules). Points and error-bars represent the mean, minimum, and maximum across the three patient-specific tumor mutations considered. The difference between observed and expected tumor fractions for sample <1:10,000 were compared via paired t-test. *, P<0.05, **, P<0.005, ***, P<0.0005. FIG. 3F illustrates plot demonstrating the background signal for detection of tumor-specific alleles in 12 unrelated, healthy cell-free DNA samples, and the healthy cfDNA sample used for limiting dilution series (n=13 total samples). In each sample, tumor-specific SNVs or PVs from the 3 patient samples utilized in the limiting dilution experiment shown in FIG. 3E, for a total of 39 assessments were assessed. Bars represent the arithmetic mean across all 39 assessments; statistical comparison performed by Wilcoxon rank-sum test. *, P<0.05, **, P<0.005, ***, P<0.0005. FIG. 3G illustrates plot showing the theoretical rate of detection for a sample with a given number of PV-containing regions, according to simple binomial sampling. This plot is produced by assuming a unique sequencing depth of 5000× (line), along with a varying number of independent 150 bp PV-containing regions, from 3 regions (blue) to 67 regions (purple). Confidence envelopes consider depth from 4000-6000×; a 5% false-positive rate is also assumed. FIG. 3H illustrates plot showing the observed rate of detection (y-axis) for sample of a given true tumor fraction (x-axis), with varying numbers of PV-containing regions. For each number of tumor-reporter regions ranging from 3 to 67, this number of 150 bp windows was randomly sampled from each of 3 patient-specific PV reporter lists 25 times and used to assess tumor-detection at each dilution. Filled-in points represent ‘wet’ dilution series experiments, while open points represent in silico dilution experiments. Points and error-bars represent the mean, minimum, and maximum across the three patient-specific PV reporter lists used in the original sampling. FIG. 3I illustrates scatter plot compares the predicted vs observed rate of detection for samples from the dilution series shown in panels FIG. 3G and FIG. 3H. Additional details of this experiment are provided in Example 10.

FIGS. 4A-4G illustrate clinical application of PhasED-Seq for ultra-sensitive disease detection and response monitoring in DLBCL. FIG. 4A illustrates plot showing ctDNA levels for a patient with DLBCL responding to, and subsequently relapsing after, first-line immuno-chemotherapy. Levels measured by CAPP-Seq are shown in darker gray circles while levels measured by PhasED-Seq are shown in lighter gray circles. Open circles represent undetectable levels by CAPP-Seq. FIG. 4B illustrates a univariate scatter plot showing the mean tumor allele fraction measured by PhasED-Seq for clinical samples at time-points of minimal disease (i.e., after 1 or 2 cycles of therapy). The plot is divided by samples detected vs undetected by standard CAPP-Seq; P-value from Wilcoxon rank-sum test. FIG. 4C illustrates bar plot showing the fraction of DLBCL patients who have detectable ctDNA by CAPP-Seq after 1 or 2 cycles of treatment (dark gray bars), as well as the fraction of additional patients with detectable disease when adding PhasED-Seq to standard CAPP-Seq (medium gray bars). P-value represents a Fisher's Exact Test for detection by CAPP-Seq alone versus the combination of PhasED-Seq and CAPP-Seq in 171 samples after 1 or 2 cycles of treatment. FIG. 4D illustrates a waterfall plot showing the change in ctDNA levels measured by CAPP-Seq after 2 cycles of first-line therapy in patients with DLBCL. Patients with undetectable ctDNA by CAPP-Seq are shown as “ND” (“not detected”), in darker colors. The colors of the bars also indicate the eventual clinical outcomes for these patients. FIG. 4E illustrates a Kaplan-Meier plot showing the event-free survival for 52 DLBCL patients with undetectable ctDNA measured by CAPP-Seq after 2 cycles. FIG. 4F illustrates a Kaplan-Meier plot showing the event-free survival of 52 patients shown in FIG. 4E (undetectable ctDNA by CAPP-Seq) stratified by ctDNA detection via PhasED-Seq at this same time-point (cycle 3, day 1). FIG. 4G illustrates a Kaplan-Meier plot showing the event-free survival for 89 patients with DLBCL stratified by ctDNA at cycle 3, day 1 separated into 3 strata—patients failing to achieve a major molecular response (dark gray), patients with a major molecular response who still have detectable ctDNA by PhasED-Seq and/or CAPP-Seq (light grey), and patients who have a stringent molecular remission (undetectable ctDNA by PhasED-Seq and CAPP-Seq; medium gray).

FIGS. 5A-5C illustrate enumeration of SNVs and PVs in diverse cancers from WGS. FIG. 5A-C illustrate Univariate scatter plots showing the number of SNVs (FIG. 5A), PVs (FIG. 5B), and PVs, controlling for total number of SNVs (FIG. 5C), from WGS data for 24 different histologies of cancer. Bars show the median value and interquartile range. (FL-NHL, follicular lymphoma; DLBCL-NHL, diffuse large B cell lymphoma; Burkitt-NHL, Burkitt lymphoma; Lung-SCC, squamous cell lung cancer; Lung-Adeno, lung adenocarcinoma; Kidney-RCC, renal cell carcinoma; Bone-Osteosarc, osteosarcoma; Liver-HCC, hepatocellular carcinoma; Breast-Adeno, breast adenocarcinoma; Panc-Adeno, pancreatic adenocarcinoma; Head-SCC, head and neck squamous cell carcinoma; Ovary-Adeno, ovarian adenocarcinoma; Eso-Adeno, esophageal adenocarcinoma; Uterus-Adeno, uterine adenocarcinoma; Stomach-Adeno, stomach adenocarcinoma; CLL, chronic lymphocytic leukemia; ColoRect-Adeno, colorectal adenocarcinoma; Prost-Adeno, prostate adenocarcinoma; CNS-GBM, glioblastoma multiforme; Panc-Endocrine, pancreatic neuroendocrine tumor; Thy-Adeno, thyroid adenocarcinoma; CNS-PiloAstro, piloastrocytoma; CNS-Medullo, medulloblastoma).

FIGS. 6A-6WW illustrate contribution of mutational signatures in phased and un-phased SNVs in WGS (FIGS. 6A-6WW.) Scatterplots showing the contribution of established single base substitution (SBS) mutational signatures to SNVs seen in PVs, shown in dark colors, and SNVs seen outside of possible phased relationships, shown in light colors, from WGS. This is presented for 49 SBS mutational signatures across 24 subtypes of cancer. Mutational signatures that show a significant difference in contribution between phased and un-phased SNVs after multiple hypothesis testing correction are indicated with a *. These figures represent the raw data summarized in FIG. 1C.

FIG. 7 illustrates distribution of PVs in stereotyped regions across the genome. Bar plots show the distribution of PVs occurring in stereotyped regions across the genome of multiple cancer types. In this plot, the genome was divided into 1000 bp bins, and the fraction of samples of a given histology with a PV in each 1000 bp bin was calculated. Only bins that have at least a 2 percent recurrence frequency in any cancer subtype are shown. Histologies shown are as in FIG. 1E; activated B-cell (ABC) and germinal center B-cell (GCB) subtypes of DLBCL are also shown.

FIGS. 8A-8E illustrate quantity and genomic location of PVs from WGS in lymphoid malignancies. FIG. 8A. illustrates bar plot showing the number of independent 1000 bp regions across the genome that recurrently contain PVs for DLBCL, FL, BL, and CLL (n=68, 74, 36, and 151 respectively). FIG. 8B-D illustrate plots showing the frequency of PVs for multiple lymphoid malignancies with relationships to specific genetic loci, including FIG. 8B: BCL2, FIG. 8C: MYC, and FIG. 8D: ID3. The location of the transcript for a given gene is shown below the plot in grey; exons are shown in darker gray. * indicates a region with significantly more PVs in a given cancer histology compared to all other histologies by Fisher's Exact Test (P<0.05). FIG. 8E, similar to FIG. 8B-D, these plots show the frequency of PVs across lymphoma subtypes. Here, it is shown the IGH locus, consisting of IGHV, IGHD, and IGHJparts, for ABC and GCB subtype DLBCLs (n=25 and 25, respectively). Coding regions for Ig parts, including Ig-constant regions and V-genes, are shown. (DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma; BL, Burkitt lymphoma, CLL, chronic lymphocytic leukemia).

FIGS. 9A-9K illustrate performance of PhasED-Seq for recovery of PVs across lymphomas. FIG. 9A illustrates univariate scatter plot showing the fraction of all PVs across the genome identified by WGS (n=79) that were recovered by previously reported lymphoma CAPP-Seq panel⁸ (left) compared to PhasED-Seq (right). FIG. 9B illustrates the expected yield of SNVs per case identified from WGS using a previously established lymphoma CAPP-Seq panel or the PhasED-Seq panel. FIG. 9C illustrates the expected yield of PVs per case identified from WGS using a previously established lymphoma CAPP-Seq panel or the PhasED-Seq panel. Data from three independent publicly available cohorts are shown in FIGS. 9A-9C. FIGS. 9D-9F illustrate plots showing the improvement in recovery of PVs by PhasED-Seq compared to CAPP-Seq in 16 patients sequenced by both assays. This includes improvement in d) two SNVs in phase (e.g., 2× or ‘doublet PVs’), e) three SNVs in phase (3× or ‘triplet PVs’) and f) four SNVs in phase (e.g., 4× or ‘quadruplet PVs’). FIGS. 9G-9K. illustrate panels showing the number of SNVs and PVs identified for patients with different types of lymphomas. These panels show the number of g) SNVs, h) doublet PVs, i) triplet PVs, j) quadruplet PVs, and k) all PVs. *, P<0.05; **, P<0.01, ***, P<0.001. (DLBCL, diffuse large B-cell lymphoma; GCB, germinal center B-cell like DLBCL; ABC, activated B-cell like DLBCL; PMBCL, primary mediastinal B-cell lymphoma; HL, Hodgkin lymphoma).

FIGS. 10A-10Y illustrate location-specific differences in PVs between ABC-DLBCL and GCB-DLBC (FIGS. 10A-10Y.) Similar to FIG. 2D, these scatterplots compare the frequency of PVs by genomic location (in 50 bp bins) for patients with different types of lymphomas; in this figure, the difference between ABC-DLBCL and GCB-DLBCL is shown. The red circles show the relative frequency of PVs in 50 bp bins from a specific gene of interest; the other (grey) circles show the relative frequency of PVs in 50 bp bins from the remainder of the PhasED-Seq sequencing panel. Only genes with a statistically significant difference in PVs between ABC-DLBCL and GCB-DLBCL are shown. P-values represent a Wilcoxon rank-sum test of 50 bp bins from a given gene against all other 50 bp bins; see Example 10.

FIGS. 11A-11X illustrate Location-specific differences in PVs between DLBCL and PMBCL (FIGS. 11A-11X). Similar to FIG. 2D, these scatterplots compare the frequency of PVs by genomic location (in 50 bp bins) for patients with different types of lymphomas; in this figure, the difference between DLBCL and PMBCL is shown. The blue circles show the relative frequency of PVs in 50 bp bins from a specific gene of interest; the other (gray) circles show the relative frequency of PVs in 50 bp bins from the remainder of the PhasED-Seq sequencing panel. Only genes with a statistically significant difference in PVs between DLBCL and PMBCL are shown. P-values represent a Wilcoxon rank-sum test of 50 bp bins from a given gene against all other 50 bp bins; see Example 10.

FIGS. 12A-12NN illustrate Location-specific differences in PVs between DLBCL and HL. Similar to FIG. 2D, scatterplots of FIGS. 12A-12NN compare the frequency of PVs by genomic location (in 50 bp bins) for patients with different types of lymphomas; in this figure, the difference between DLBCL and HL is shown. The green circles show the relative frequency of PVs in 50 bp bins from a specific gene of interest; the other (grey) circles show the relative frequency of PVs in 50 bp bins from the remainder of the PhasED-Seq sequencing panel. Only genes with a statistically significant difference in PVs between DLBCL and HL are shown. P-values represent a Wilcoxon rank sum test of 50 bp bins from a given gene against all other 50 bp bins; see Example 10.

FIG. 13 illustrates differences in PVs between lymphoma types in mutations in the IGH locus. This figure shows the frequency of PVs from PhasED-Seq across the @IGH locus for different types of B-cell lymphomas. The bottom track shows the structure of the @IGH locus and gene-parts, including Ig-constant genes and V-genes. The next (outlined) track shows the frequency of PVs in this genomic region from WGS data (ICGC cohort). The remainder of the tracks show the frequency of PVs from PhasED-Seq targeted sequencing data, including 1) DLBCL, GCB-DLBCL, ABC-DLBCL, PMBCL, and HL. The regions targeted by the PhasED-Seq panel are shown at the top. Selected immunoglobulin parts with PVs enriched in specific histologies are labeled (i.e., IGHV4-34, Sε, Sδ3 and Sδ1).

FIGS. 14A-14E illustrate Technical aspects of PhasED-Seq by hybrid-capture sequencing. FIG. 14A shows a plot of the theoretical energy of binding for typical 150-mers across the genome with increasing fraction of bases mutated from the reference genome. Mutations were spread throughout the 150-mer either clustered to one end of the sequence, clustered in the middle of the sequence, or randomly throughout the sequence. Point and error-bars represent the median and interquartile ranges from 10,000 in silico simulations. FIG. 14B illustrates a plot showing two histograms of summary metrics of the mutation rate of 151-bp windows across the PhasED-Seq panel across all patients in this study. The light gray histogram shows the maximum percent mutated in any 151-bp window for all patients in this study; the dark gray histogram shows the 95^(th) percentile mutation rate across all mutated 151-bp windows. FIG. 14C is a plot showing the percentile of mutation rate across all mutated 151-bp windows across all patients in this study. FIG. 14D illustrates heatmaps showing the relative error rate (as log 10(error rate)) for single SNVs (left, “RED”), doublet PVs (middle, “YELLOW”), and triplet PVs (right, “BLUE”). FIG. 14D demonstrates that analysis based on the plurality of phased variants (e.g., double or triplet PVs) yields a lower error rate than analysis based on single SNVs. In addition, FIG. 14D demonstrates that analysis using a higher number of phased variant sets (e.g., triplet PVs labeled as “BLUE”) yields a lower error rate than analysis based on a lower number of phased variant sets (e.g., doublet PVs labeled as “YELLOW”). The error rate of single SNVs from sequencing with multiple error suppression methods is shown, including barcode deduplication, iDES, and duplex sequencing. Error rates are summarized by the type of mutation. In the case of triplet PVs, the x and y-axis of the heatmap represent the first and second type of base alteration in the PV; the third alteration is averaged over all 12 possible base changes. FIG. 14E illustrates a plot showing the error rate for doublet/2×PVs as a function of the genomic distance between the component SNVs.

FIGS. 15A-15D and 16A-16C illustrate comparison of ctDNA quantitation by PhasED-Seq to CAPP-Seq and clinical applications. FIG. 15 illustrates the detection-rate of ctDNA from pretreatment samples across 107 patients with large-B cell lymphomas by standard CAPP-Seq (green), as well as PhasED-Seq using doublets (light blue), triplets (medium blue), and quadruplets (dark blue). The specificity of ctDNA detection is also shown. In the lower two plots, the false-detection rate in 40 withheld healthy control cfDNA samples is shown. The size of each bar in these two plots shows the detection-rate for patient-specific cfDNA mutations in these 40-withheld controls, across all 107 cases. FIG. 16A illustrates table summarizing the sensitivity and specificity for ctDNA detection in pretreatment samples by CAPP-Seq and PhasED-Seq using doublets, triplets, and quadruplets, shown in panel A. Sensitivity is calculated across all 107 cases, while specificity is calculated across the 40 withheld control samples, assessing for each of the 107 independent patient-specific mutation lists, for a total of 4280 independent tests. FIG. 16B illustrates a scatterplot showing the quantity of ctDNA (measured as log 10(haploid genome equivalents/mL)) as measured by CAPP-Seq vs. PhasED-Seq in individual samples. Samples taken prior to cycle 1 of RCHOP therapy (i.e., pretreatment), prior to cycle 2, and prior to cycle 3, are shown in independent colors (blue, green, and red respectively; 278 total samples). Undetectable levels fall on the axes. Spearman correlation and P-value are shown.

FIGS. 17A-17D illustrate detection of ctDNA after two cycles of systemic therapy. FIG. 17A illustrates a scatter plot showing the log-fold change in ctDNA after 2 cycles of therapy (i.e., the Major Molecular Response or MMR) measured by CAPP-Seq or PhasED-Seq for patients receiving RCHOP therapy. Dotted lines show the previously established threshold of a 2.5-log reduction in ctDNA for MMR. Undetectable samples fall on the axes; the correlation coefficient represents a Spearman rho for the 33 samples detected by both CAPP-Seq and PhasED-Seq. FIG. 17B illustrates 2 by 2 tables summarizing the detection rate of ctDNA samples after 2 cycles of therapy by PhasED-Seq vs CAPP-Seq. Patients with eventual disease progression are shown in bottom panel, while patients without eventual disease progression are shown in upper panel. FIG. 17C illustrates bar-plots showing the area under the receiver operator curve (AUC) for classification of patients for event-free survival at 24 months based on CAPP-Seq (light colors) or PhasED-Seq (dark colors) after 2 cycles of therapy. Classification of all patient (n=89, left) and only patients achieving a MMR (n=69, right) are both shown. FIG. 17D illustrates Kaplan-Meier plots showing the event-free survival of 69 patients achieving a MMR stratified by ctDNA detection with CAPP-Seq (top) or PhasED-Seq (bottom).

FIGS. 18A-18H illustrate detection of ctDNA after one cycle of systemic therapy. FIG. 18A illustrates scatterplot showing the log-fold change in ctDNA after 1 cycle of therapy (i.e., the Early Molecular Response or EMR) measured by CAPP-Seq or PhasED-Seq for patients receiving RCHOP therapy. Dotted lines show the previously established threshold of a 2-log reduction in ctDNA for EMR. Undetectable samples fall on the axes; the correlation coefficient represents a Spearman rho for the 45 samples detected by both CAPP-Seq and PhasED-Seq. FIG. 18B illustrates 2 by 2 tables summarizing the detection rate of ctDNA samples after 1 cycle of therapy by PhasED-Seq vs CAPP-Ceq. Patients with eventual disease progression are shown in red, while patients without eventual disease progression are shown in blue. FIG. 18C illustrates bar-plots showing the area under the receiver operator curve (AUC) for classification of patients for event-free survival at 24 months based on CAPP-Seq (light colors) or PhasED-Seq (dark colors) after 1 cycle of therapy. Classification of all patient (n=82, left) and only patients achieving an EMR (n=63, right) are both shown. FIG. 18D illustrates Kaplan-Meier plots showing the event-free survival of 63 patients achieving an EMR stratified by ctDNA detection with CAPP-Seq (top) or PhasED-Seq (bottom). FIG. 18E illustrates waterfall plot showing the change in ctDNA levels measured by CAPP-Seq after 1 cycle of first-line therapy in patients with DLBCL. Patients with undetectable ctDNA by CAPP-Seq are shown as “ND” (“not detected”), in darker colors. The colors of the bars also indicate the eventual clinical outcomes for these patients. FIG. 18F illustrates a Kaplan-Meier plot showing the event-free survival for 33 DLBCL patients with undetectable ctDNA measured by CAPP-Seq after 1 cycle of therapy. FIG. 18G illustrates a Kaplan-Meier plot showing the event-free survival of 33 patients shown in FIG. 18F (undetectable ctDNA by CAPP-Seq) stratified by ctDNA detection via PhasED-Seq at this same time-point (cycle 2, day 1). FIG. 18H illustrates a Kaplan-Meier plot showing the event-free survival for 82 patients with DLBCL stratified by ctDNA at cycle 2, day 1 separated into 3 strata—patients failing to achieve an early molecular response, patients with an early molecular response who still have detectable ctDNA by PhasED-Seq and/or CAPP-Seq, and patients who have a stringent molecular remission (undetectable ctDNA by PhasED-Seq and CAPP-Seq).

FIG. 19 illustrates a fraction of patients where PhasED-Seq would achieve a lower LOD than duplex sequencing tracking SNVs based on PCAWG data (whole genome sequencing) from which the number of SNVs and phased variants (PVs) in different tumor types was quantified.

FIG. 20 illustrates improved LODs achieved in lung cancers (adenocarcinoma, abbreviated ‘A’, and squamous cell carcinoma, abbreviated ‘S’), compared to duplex sequencing of whole genome sequencing data.

FIG. 21 illustrates empiric data from an experiment where WGS was performed on tumor tissue and custom panels were designed for 5 patients with solid tumors (5 lung cancers) to examine and compare the LODs of custom CAPP-Seq vs PhasED-Seq, showing a ˜10× lower LOD using PhasED-Seq in 5/5 patients.

FIG. 22A illustrates proof of principle example patient vignette comparing using custom CAPP-Seq and PhasED-Seq for disease surveillance in lung cancer showing earlier detection of relapse using PhasED-Seq.

FIG. 22B illustrates proof of principle example patient vignette comparing using custom CAPP-Seq and PhasED-Seq for early detection of disease in breast cancer, showing earlier detection of disease with PhasED-Seq.

FIGS. 23A-23B illustrate that the method describe herein (e.g. method depicted yielding FIG. 3E and FIG. 3F) does not require barcode meditated error suppression.

FIG. 24 illustrates a flow diagram of a process to perform a clinical intervention and/or treatment on an individual based on detecting circulating-tumor nucleic acid sequences in a sequencing result in accordance with an embodiment.

FIGS. 25A-25C show example flowcharts of methods for determining a condition of a subject based on one or more cell-free nucleic acid molecules comprising a plurality of variants.

FIG. 25D shows an example flowchart of a method for treating a condition of a subject based on one or more cell-free nucleic acid molecules comprising a plurality of variants.

FIG. 25E shows an example flowchart of a method for determining a progress (e.g., progression or regression) of a condition of a subject based on one or more cell-free nucleic acid molecules comprising a plurality of variants.

FIGS. 25F and 25G show example flowcharts of methods for determining a condition of a subject based on one or more cell-free nucleic acid molecules comprising a plurality of variants.

FIGS. 26A and 26B schematically illustrate different fluorescent probes for identifying one or more cell-free nucleic acid molecules comprising a plurality of phased variants.

FIG. 27 shows a computer system that is programmed or otherwise configured to implement methods provided herein.

FIG. 28 shows the low error rate of larger indels in comparison to duplex sequencing.

DETAILED DESCRIPTION

While various embodiments of the invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions may occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed.

The term “about” or “approximately” generally mean within an acceptable error range for the particular value, which may depend in part on how the value is measured or determined, e.g., the limitations of the measurement system. For example, “about” can mean within 1 or more than 1 standard deviation, per the practice in the art. Alternatively, “about” can mean a range of up to 20%, up to 10%, up to 5%, or up to 1% of a given value. Alternatively, particularly with respect to biological systems or processes, the term can mean within an order of magnitude, preferably within 5-fold, and more preferably within 2-fold, of a value. Where particular values are described in the application and claims, unless otherwise stated, the term “about” meaning within an acceptable error range for the particular value may be assumed.

The term “phased variants,” “variants in phase,” “PV,” or “somatic variants in phase,” as used interchangeably herein, generally refers to two or more mutations (e.g., SNVs or indels) that occur in cis (i.e., on the same strand of a nucleic acid molecule) within a single cell-free nucleic acid molecule. In some cases, a cell-free nucleic acid molecule can be a cell-free deoxyribonucleic acid (cfDNA) molecule. In some cases, a cfDNA molecule can be derived from a diseased tissue, such as a tumor (e.g., a circulating tumor DNA (ctDNA) molecule).

The term “biological sample” or “bodily sample,” as used interchangeably herein, generally refers to a tissue or fluid sample derived from a subject. A biological sample can be directly obtained from the subject. Alternatively, a biological sample can be derived from the subject (e.g., by processing an initial biological sample obtained from the subject). The biological sample can be or can include one or more nucleic acid molecules, such as DNA or ribonucleic acid (RNA) molecules. The biological sample can be derived from any organ, tissue or biological fluid. A biological sample can comprise, for example, a bodily fluid or a solid tissue sample. An example of a solid tissue sample is a tumor sample, e.g., from a solid tumor biopsy. Non-limiting examples of bodily fluids include blood, serum, plasma, tumor cells, saliva, urine, cerebrospinal fluid, lymphatic fluid, prostatic fluid, seminal fluid, milk, sputum, stool, tears, and derivatives of these. In some cases, one or more cell-free nucleic acid molecules as disclosed herein can be derived from a biological sample.

The term “subject,” as used herein, generally refers to any animal, mammal, or human. A subject can have, potentially have, or be suspected of having one or more conditions, such as a disease. In some cases, a condition of the subject can be cancer, a symptom(s) associated with cancer, or asymptomatic with respect to cancer or undiagnosed (e.g., not diagnosed for cancer). In some cases, the subject can have cancer, the subject can show a symptom(s) associated with cancer, the subject can be free from symptoms associated with cancer, or the subject may not be diagnosed with cancer. In some examples, the subject is a human.

The term “cell-free DNA” or “cfDNA,” as used interchangeably herein, generally refers to DNA fragments circulating freely in a blood stream of a subject. Cell-free DNA fragments can have dinucleosomal protection (e.g., a fragment size of at least 240 base pairs (“bp”)). These cfDNA fragments with dinucleosomal protection were likely not cut between the nucleosome, resulting in a longer fragment length (e.g., with a typical size distribution centered around 334 bp). Cell-free DNA fragments can have mononucleosomal protection (e.g., a fragment size of less than 240 base pairs (“bp”)). These cfDNA fragments with mononucleosomal protection were likely cut between the nucleosome, resulting in a shorter fragment length (e.g., with a typical size distribution centered around 167 bp).

The term “sequencing data,” as used herein, generally refers to “raw sequence reads” and/or “consensus sequences” of nucleic acids, such as cell-free nucleic acids or derivatives thereof. Raw sequence reads are the output of a DNA sequencer, and typically include redundant sequences of the same parent molecule, for example after amplification. “Consensus sequences” are sequences derived from redundant sequences of a parent molecule intended to represent the sequence of the original parent molecule. Consensus sequences can be produced by voting (wherein each majority nucleotide, e.g., the most commonly observed nucleotide at a given base position, among the sequences is the consensus nucleotide) or other approaches such as comparing to a reference genome. In some cases, consensus sequences can be produced by tagging original parent molecules with unique or non-unique molecular tags, which allow tracking of the progeny sequences (e.g., after amplification) by tracking of the tag and/or use of sequence read internal information.

The term “reference genomic sequence,” as used herein, generally refers to a nucleotide sequence against which a subject's nucleotide sequences are compared.

The term “genomic region,” as used herein, generally refers to any region (e.g., range of base pair locations) of a genome, e.g., an entire genome, a chromosome, a gene, or an exon. A genomic region can be a contiguous or a non-contiguous region. A “genetic locus” (or “locus”) can be a portion or entirety of a genomic region (e.g., a gene, a portion of a gene, or a single nucleotide of a gene).

The term “likelihood,” as used herein, generally refers to a probability, a relative probability, a presence or an absence, or a degree.

The term “liquid biopsy,” as used herein, generally refers to a non-invasive or minimally invasive laboratory test or assay (e.g., of a biological sample or cell-free nucleic acids). The “liquid biopsy” assays can report detections or measurements (e.g., minor allele frequencies, gene expression, or protein expression) of one or more marker genes associated with a condition of a subject (e.g., cancer or tumor-associated marker genes).

A. INTRODUCTION

Modifications (e.g., mutations) of genomic DNA can be manifested in a formation and/or progression of one or more conditions (e.g., a disease, such as cancer or tumor) of a subject. The present disclosure provides methods and systems for analyzing cell-free nucleic acid molecules, such as cfDNA, from a subject to determine the presence or absence of a condition of the subject, prognosis of a diagnosed condition of the subject, progress of the condition of the subject over time, therapeutic treatment of a diagnosed condition of the subject, or predicted treatment outcome for a condition of the subject.

Analysis of cell-free nucleic acids, such as cfDNA, have been developed with broad applications in, e.g., prenatal testing, organ or tissue transplantation, infectious disease, and oncology. In the context of detecting or monitoring a disease of a subject, such as cancer, circulating tumor DNA (ctDNA) can be a sensitive and specific biomarker in numerous cancer types. In some cases, ctDNA can be used to detect the presence of minimal residual disease (MRD) or tumor burden after treatment, such as chemotherapies or surgical resection of solid tumors. However, the limit of detection (LOD) for ctDNA analysis can be restricted by a number of factors including (i) low input DNA amounts from a typical blood collection and (ii) background error rates from sequencing.

In some cases, ctDNA-based cancer detection can be improved by tracking multiple somatic mutations with error-suppressed sequencing, e.g., with LOD of about 2 parts in 100,000 from cfDNA input while using off-the-shelf panels or personalized assays. However, in some cases, current LOD of ctDNA of interest can be insufficient to universally detect MIRD in patients destined for disease relapse or progression. For example, such ‘loss of detection’ can be exemplified in diffuse large B-cell lymphoma (DLBCL). For DLBCL, interim ctDNA detection after only two cycles of curative-intent therapy can represent a major molecular response (MMR), and can be a strong prognostic marker for ultimate clinical outcomes. Despite this, nearly one-third of patients ultimately experiencing disease progression do not have detectable ctDNA at this interim landmark using available techniques (e.g., Cancer Personalized Profiling by Deep Sequencing (CAPP-Seq)), thus representing ‘false-negative’ measurements. Such high false-negative rates have also been observed in DLBCL patients by alternative methods, such as monitoring ctDNA through immunoglobulin gene rearrangements. Therefore, there exists a need for improved methods of ctDNA-based cancer detection with greater sensitivity.

Somatic variants detected on both of the complementary strands of parental DNA duplexes can be used to lower the LOD of ctDNA detection, thereby advantageously increasing the sensitivity of ctDNA detection. Such ‘duplex sequencing’ can reduce background error profile due to the requirement of two concordant events for detection of a single nucleotide variant (SNV). However, the duplex sequencing approach alone can be limited by inefficient recovery of DNA duplexes as recovery of both original strands can occur in a minority of all recovered molecules. Thus, duplex sequencing may be suboptimal and inefficient for real-world ctDNA detection with limited amount of starting sample, where input DNA from practical blood volumes (e.g., between about 4,000 to about 8,000 genomes per standard 10 milliliter (mL) blood collection tube) is limited and maximal recovery of genomes is essential.

Thus, there remains a significant unmet need for detection and analysis of ctDNA with low LOD (e.g., thereby yielding high sensitivity) for determining, for example, presence or absence of a disease of a subject, prognosis of the disease, treatment for the disease, and/or predicted outcome of the treatment.

B. METHODS AND SYSTEMS FOR DETERMINING OR MONITORING A CONDITION

The present disclosure describes methods and systems for detecting and analyzing cell free nucleic acids with a plurality of phased variants as a characteristic of a condition of a subject. In some aspects, the cell-free nucleic acid molecules can comprise cfDNA molecules, such as ctDNA molecules. The methods and systems disclosed herein can utilize sequencing data derived from a plurality of cell-free nucleic acid molecules of the subject to identify a subset of the plurality of cell-free nucleic acid molecules having the plurality of phased variants, thereby to determine the condition of the subject. The methods and systems disclosed herein can directly detect and, in some cases, pull down (or capture) such subset of the plurality of cell-free nucleic acid molecules that exhibit the plurality of phased variants, thereby to determine the condition of the subject with or without sequencing. The methods and systems disclosed herein can reduce background error rate often involved during detection and analysis of cell-free nucleic acid molecules, such as cfDNA.

In some aspects, methods and systems for cell-free nucleic acid sequencing and detection of cancer are provided. In some embodiments, cell-free nucleic acids (e.g., cfDNA or cfRNA) can be extracted from a liquid biopsy of an individual and prepared for sequencing. Sequencing results of the cell-free nucleic acids can be analyzed to detect somatic variants in phase (i.e., phased variants, as disclosed herein) as an indication of circulating-tumor nucleic acid (ctDNA or ctRNA) sequences (i.e., sequences that derived or are originated from nucleic acids of a cancer cell). Accordingly, in some cases, cancer can be detected in the individual by extracting a liquid biopsy from the individual and sequencing the cell-free nucleic acids derived from that liquid biopsy to detect circulating-tumor nucleic acid sequences, and the presence of circulating-tumor nucleic acid sequences can indicate that the individual has a cancer (e.g., a specific type of cancer). In some cases, a clinical intervention and/or treatment can be determined and/or performed on the individual based on the detection of the cancer.

As disclosed herein, a presence of somatic variants in phase can be a strong indication that the nucleic acids containing such phased variants are derived from a bodily sample with a condition, such as a cancerous cell (or alternatively, that the nucleic acids are from derived from a bodily sample obtained or derived from a subject with a condition, such as cancer). Detection of phased somatic variants can enhance the signal-to-noise ratio of cell-free nucleic acid detection methods (e.g., by reducing or eliminating spurious “noise” signals) as it may be unlikely that phased mutations would occur within a small genetic window that is approximately the size of a typical cell-free nucleic acid molecule (e.g., about 170 bp or less).

In some aspects, a number of genomic regions can be used as hotspots for detection of phased variants, especially in various cancers, e.g., lymphomas. In some cases, enzymes (e.g., AID, Apobec3a) can stereotypically mutagenize DNA in specific genes and locations, leading to development of particular cancers. Accordingly, cell-free nucleic acids derived from such hotspot genomic regions can be captured or targeted (e.g., with or without deep sequencing) for cancer detection and/or monitoring. Alternatively, capture or targeted sequencing can performed on regions in which phased variants have been previously detected from a cancerous source (e.g., tumor) of a particular individual in order to detect cancer in that individual.

In some aspects, capture sequencing on cell-free nucleic acids can be performed as a screening diagnostic. In some cases, a screening diagnostic can be developed and used to detect circulating-tumor nucleic acids for cancers that have stereotypical regions of phased variants. In some cases, capture sequencing on cell-free nucleic acids is performed as a diagnostic to detect MRD or tumor burden to determine if a particular disease is present during or after treatment. In some cases, capture sequencing on cell-free nucleic acids can be performed as a diagnostic to determine progress (e.g., progression or regression) of a treatment.

In some aspects, cell-free nucleic acid sequencing results can be analyzed to detect whether phased somatic single nucleotide variants (SNVs) or other mutations or variants (e.g., indels) exist within the cell-free nucleic acid sample. In some cases, the presence of particular somatic SNVs or other variants can be indicative of circulating-tumor nucleic acid sequences, and thus indicative of a tumor present in the subject. In some cases, a minimum of two variants can be detected in phase on a cell-free nucleic acid molecule. In some cases, a minimum of three variants can be detected in phase on a cell-free nucleic acid molecule. In some cases, a minimum of four variants can be detected in phase on a cell-free nucleic acid molecule. In some cases, a minimum of five or more variants can be detected in phase on a cell-free nucleic acid molecule. In some cases, the greater number of phased variants detected on a cell-free nucleic acid molecule, the greater the likelihood that the cell-free nucleic acid molecule is derived from cancer, as opposed to detecting an innocuous sequence of somatic variants that arise from molecular preparation of the sequence library or random biological errors. Accordingly, the likelihood of false-positive detection can decrease with detection of more variants in phase within a molecule (e.g., thereby increasing specificity of detection).

In some aspects, a cell-free nucleic acid sequencing result can be analyzed to detect whether an insertion or deletion of one or more nucleobases (i.e., indel) exist within the cell-free nucleic acid sample, e.g., relative to a reference genomic sequence. Without wishing to be bound by theory, in some cases, presence of indels in a cell-free nucleic acid molecule (e.g., cfDNA) can be indicative of a condition of a subject, e.g., a disease such as cancer. In some cases, a genetic variation as a result of an indel can be treated as a variant or mutation, and thus two indels can be treated a two phased variants, as disclosed herein. In some examples, within a cell-free nucleic acid molecule, a first genetic variation from a first indel (a first phase variant) and a second genetic variation from a second indel (a second phase variant) can be separated from each other by at least 1 nucleotide.

Within a single cell-free nucleic acid molecule (e.g., a single cfDNA molecule), as disclosed herein, a first phased variant can be a SNV and a second phased variant can be a part of a different small nucleotide polymorphism, e.g., another SNV or a part of a multi-nucleotide variant (MNV). A multi-nucleotide variant can be a cluster of two or more (e.g., at least 2, 3, 4, 5, or more) adjacent variants existing within the same stand of nucleic acid molecule. In some cases, the first phased variant and the second phased variant can be parts of the same MNV within the single cell-free nucleic acid molecule. In some cases, the first phased variant and the second phased variant can be from two different MNVs within the single cell-free nucleic acid molecule.

In some aspects, a statistical method can be utilized to calculate the likelihood that detected phased variants are from a cancer and not random or artificial (e.g., from sample prep or sequencing error). In some cases, a Monte Carlo sampling method can be utilized to determine the likelihood that detected phased variants are from a cancer and not random or artificial.

Aspects of the present disclosure provide identification or detection of cell-free nucleic acids (e.g., cfDNA molecule) with a plurality of phased variants, e.g., from a liquid biopsy of a subject. In some cases, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants can be directly adjacent to each other (e.g., neighboring SNVs). In some cases, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants can be separated by at least one nucleotide. The spacing between the first phased variant and the second phased variant can be limited by the length of the cell-free nucleic acid molecule.

Within a single cell-free nucleic acid molecule (e.g., a single cfDNA molecule), as disclosed herein, a first phased variant and a second phased variant can be separated from each other by at least or up to about 1 nucleotide, at least or up to about 2 nucleotides, at least or up to about 3 nucleotides, at least or up to about 4 nucleotides, at least or up to about 5 nucleotides, at least or up to about 6 nucleotides, at least or up to about 7 nucleotides, at least or up to about 8 nucleotides, at least or up to about 9 nucleotides, at least or up to about 10 nucleotides, at least or up to about 11 nucleotides, at least or up to about 12 nucleotides, at least or up to about 13 nucleotides, at least or up to about 14 nucleotides, at least or up to about 15 nucleotides, at least or up to about 20 nucleotides, at least or up to about 25 nucleotides, at least or up to about 30 nucleotides, at least or up to about 35 nucleotides, at least or up to about 40 nucleotides, at least or up to about 45 nucleotides, at least or up to about 50 nucleotides, at least or up to about 60 nucleotides, at least or up to about 70 nucleotides, at least or up to about 80 nucleotides, at least or up to about 90 nucleotides, at least or up to about 100 nucleotides, at least or up to about 110 nucleotides, at least or up to about 120 nucleotides, at least or up to about 130 nucleotides, at least or up to about 140 nucleotides, at least or up to about 150 nucleotides, at least or up to about 160 nucleotides, at least or up to about 170 nucleotides, or at least or up to about 180 nucleotides. Alternatively or in addition to, within a single cell-free nucleic acid molecule, a first phased variant and a second phased variant may not or need not be separated by one or more nucleotides and thus can be directly adjacent to one another.

A single cell-free nucleic acid molecule (e.g., a single cfDNA molecule), as disclosed herein, can comprise at least or up to about 2 phased variants, at least or up to about 3 phased variants, at least or up to about 4 phased variants, at least or up to about 5 phased variants, at least or up to about 6 phased variants, at least or up to about 7 phased variants, at least or up to about 8 phased variants, at least or up to about 9 phased variants, at least or up to about 10 phased variants, at least or up to about 12 phased variants, at least or up to about 12 phased variants, at least or up to about 13 phased variants, at least or up to about 14 phased variants, at least or up to about 15 phased variants, at least or up to about 20 phased variants, or at least or up to about 25 phased variants within the same molecule.

From a plurality of cell-free nucleic acid molecules obtained (e.g., from a liquid biopsy of a subject), two or more (e.g., 10 or more, 1,000 or more, 10,000 or more) cell-free nucleic acid molecules can be identified to have an average of at least or up to about 2 phased variants, at least or up to about 3 phased variants, at least or up to about 4 phased variants, at least or up to about 5 phased variants, at least or up to about 6 phased variants, at least or up to about 7 phased variants, at least or up to about 8 phased variants, at least or up to about 9 phased variants, at least or up to about 10 phased variants, at least or up to about 12 phased variants, at least or up to about 12 phased variants, at least or up to about 13 phased variants, at least or up to about 14 phased variants, at least or up to about 15 phased variants, at least or up to about 20 phased variants, or at least or up to about 25 phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants.

In some cases, a plurality of cell-free nucleic acid molecules (e.g., cfDNA molecules) can be obtained from a biological sample of a subject (e.g., solid tumor or liquid biopsy). Out of the plurality of cell-free nucleic acid molecules, at least or up to 1, at least or up to 2, at least or up to 3, at least or up to 4, at least or up to 5, at least or up to 6, at least or up to 7, at least or up to 8, at least or up to 9, at least or up to 10, at least or up to 15, at least or up to 20, at least or up to 25, at least or up to 30, at least or up to 35, at least or up to 40, at least or up to 45, at least or up to 50, at least or up to 60, at least or up to 70, at least or up to 80, at least or up to 90, at least or up to 100, at least or up to 150, at least or up to 200, at least or up to 300, at least or up to 400, at least or up to 500, at least or up to 600, at least or up to 700, at least or up to 800, at least or up to 900, at least or up to 1,000, at least or up to 5,000, at least or up to, 10,000, at least or up to 50,000, or at least or up to 100,000 cell-free nucleic acid molecules can be identified, such that each identified cell-free nucleic acid molecule comprises the plurality of phased variants, as disclosed herein.

In some cases, a plurality of cell-free nucleic acid molecules (e.g., cfDNA molecules) can be obtained from a biological sample of a subject (e.g., solid tumor or liquid biopsy). Out of the plurality of cell-free nucleic acid molecules, at least or up to 1, at least or up to 2, at least or up to 3, at least or up to 4, at least or up to 5, at least or up to 6, at least or up to 7, at least or up to 8, at least or up to 9, at least or up to 10, at least or up to 15, at least or up to 20, at least or up to 25, at least or up to 30, at least or up to 35, at least or up to 40, at least or up to 45, at least or up to 50, at least or up to 60, at least or up to 70, at least or up to 80, at least or up to 90, at least or up to 100, at least or up to 150, at least or up to 200, at least or up to 300, at least or up to 400, at least or up to 500, at least or up to 600, at least or up to 700, at least or up to 800, at least or up to 900, or at least or up to 1,000 cell-free nucleic acid molecules can be identified from a target genomic region (e.g., a target genomic locus), such that each identified cell-free nucleic acid molecule comprises the plurality of phased variants, as disclosed herein.

FIGS. 1A and 1E schematically illustrate examples of (i) a cfDNA molecule comprising a SNV and (ii) another cfDNA molecule comprising a plurality of phased variants. Each variant identified within the cfDNA can indicate a presence of one more genetic mutations in the cell that the cfDNA is originated from. In alternative embodiments, one or more of the phased variants may be an insertion or deletion (indel) instead of an SNV.

In one aspect, the present disclosure provides a method for determining a condition of a subject, as shown by flowchart 2510 in FIG. 25A. The method can comprise (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from the subject (process 2512). The method can further comprise (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules identified comprises a plurality of phased variants relative to a reference genomic sequence (process 2514). In some cases, at least a portion of the one or more cell-free nucleic acid molecules can comprise a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants that are separated by at least one nucleotide, as disclosed herein. The method can optionally comprise (c) analyzing, by the computer system, at least a portion of the identified one or more cell-free nucleic acid molecules to determine the condition of the subject (process 2516).

In some cases, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, at least or up to about 50%, at least or up to about 60%, at least or up to about 70%, at least or up to about 80%, at least or up to about 90%, at least or up to about 95%, at least or up to about 99%, or about 100% of the one or more cell-free nucleic acid molecules can comprise a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants that are separated by at least one nucleotide, as disclosed herein. In some examples, a plurality of phased variants within a single cfDNA molecule can comprise (i) a first plurality of phased variants that are separated by at least one nucleotide from one another and (ii) a second plurality of phased variants that are adjacent to one another (e.g., two phased variants within a MNV). In some examples, a plurality of phased variants within a single cfDNA molecule can consist of phased variants that are separate by at least one nucleotide from one another.

In one aspect, the present disclosure provides a method for determining a condition of the subject, as shown by flowchart 2520 in FIG. 25B. The method can comprise (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from a subject (process 2522). The method can further comprise (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence (process 2524). In some cases, a first phased variant of the plurality of phased variant and a second phased variant of the plurality of phased variant can be separated by at least one nucleotide, as disclosed herein. The method can optionally comprise (c) analyzing, by the computer system, at least a portion of the identified one or more cell-free nucleic acid molecules to determine the condition of the subject (process 2526).

In one aspect, the present disclosure provides a method for determining a condition of a subject, as shown by flowchart 2530 in FIG. 25C. The method can comprise (a) obtaining sequencing data derived from a plurality of cell-free nucleic acid molecules that is obtained or derived from the subject (process 2532). The method can further comprise (b) processing the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules with a LOD being less than about 1 out of 50,000 observations (or cell-free nucleic acid molecules) from the sequencing data (process 2534). In some cases, each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence. The method can optionally comprise (c) analyzing at least a portion of the identified one or more cell-free nucleic acid molecules to determine the condition of the subject (process 2536).

In some cases, the LOD of the operation of identifying the one or more cell-free nucleic acid molecules, as disclosed herein, can be less than about 1 out of 60,000, less than 1 out of 70,000, less than 10 out of 80,000, less than 1 out of 90,000, less than 1 out of 100,000, less than 1 out of 150,000, less than 1 out of 200,000, less than 1 out of 300,000, less than 1 out of 400,000, less than 1 out of 500,000, less than 1 out of 600,000, less than 1 out of 700,000, less than 1 out of 800,000, less than 1 out of 900,000, less than 1 out of 1,000,000, less than 1 out of 1,000,000, less than 1 out of 1,100,000, less than 1 out of 1,200,000, less than 1 out of 1,300,000, less than 1 out of 1,400,000, less than 1 out of 1,500,000, or less than 1 out of 2,000,000 observations from the sequencing data.

In some cases, at least one cell-free nucleic acid molecule of the identified one or more cell-free nucleic acid molecules can comprise a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants that are separated by at least one nucleotide, as disclosed herein.

In some cases, one or more of the operations (a) through (c) of the subject method can be performed by a computer system. In an example, all of the operations (a) through (c) of the subject method can be performed by the computer system.

The sequencing data, as disclosed herein, can be obtained from one or more sequencing methods. A sequencing method can be a first-generation sequencing method (e.g., Maxam-Gilbert sequencing, Sanger sequencing). A sequencing method can be a high-throughput sequencing method, such as next-generation sequencing (NGS) (e.g., sequencing by synthesis). A high-throughput sequencing method can sequence simultaneously (or substantially simultaneously) at least about 10,000, at least about 100,000, at least about 1 million, at least about 10 million, at least about 100 million, at least about 1 billion, or more polynucleotide molecules (e.g., cell-free nucleic acid molecules or derivatives thereof). NGS can be any generation number of sequencing technologies (e.g., second-generation sequencing technologies, third-generation sequencing technologies, fourth-generation sequencing technologies, etc.). Non-limiting examples of high-throughput sequencing methods include massively parallel signature sequencing, polony sequencing, pyrosequencing, sequencing-by-synthesis, combinatorial probe anchor synthesis (cPAS), sequencing-by-ligation (e.g., sequencing by oligonucleotide ligation and detection (SOLiD) sequencing), semiconductor sequencing (e.g., Ion Torrent semiconductor sequencing), DNA nanoball sequencing, and single-molecule sequencing, sequencing-by-hybridization.

In some embodiments of any one of the methods disclosed herein, the sequencing data can be obtained based on any of the disclosed sequencing methods that utilizes nucleic acid amplification (e.g., polymerase chain reaction (PCR)). Non-limiting examples of such sequencing methods can include 454 pyrosequencing, polony sequencing, and SoLiD sequencing. In some cases, amplicons (e.g., derivatives of the plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, as disclosed herein) that correspond to a genomic region of interest (e.g., a genomic region associated with a disease) can be generated by PCR, optionally pooled, and subsequently sequenced to generating sequencing data. In some examples, because the regions of interest are amplified into amplicons by PCR before being sequenced, the nucleic acid sample is already enriched for the region of interest, and thus any additional pooling (e.g., hybridization) may not and need not be needed prior to sequencing (e.g., non-hybridization based NGS). Alternatively, pooling via hybridization can further be performed for additional enrichment prior to sequencing. Alternatively, the sequencing data can be obtained without generating PCR copies, e.g., via cPAS sequencing.

A number of embodiments utilize capture hybridization techniques to perform targeted sequencing. When performing sequencing on cell-free nucleic acids, in order to enhance resolution on particular genomic loci, library products can be captured by hybridization prior to sequencing. Capture hybridization can be particularly useful when trying to detect rare and/or somatic phased variants from a sample at particular genomic loci. In some situations, detection of rare and/or somatic phased variants is indicative of the source of nucleic acids, including nucleic acids derived from a cancer source. Accordingly, capture hybridization is a tool that can enhance detection of circulating-tumor nucleic acids within cell-free nucleic acids.

Various types of cancers repeatedly experience aberrant somatic hypermutation in particular genomic loci. For instance, the enzyme activation-induced deaminase induces aberrant somatic hypermutation in B-cells, which leads to various B-cell lymphomas, including (but not limited to) diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt lymphoma (BL), and B-cell chronic lymphocytic leukemia (CLL). Accordingly, in numerous embodiments, probes are designed to pull down (or capture) genomic loci known to experience aberrant somatic hypermutation in a lymphoma. FIG. 1D and Table 1 describe a number of regions that experience aberrant somatic hypermutation in DLBCL, FL, BL and CLL. Provided in Table 6 is list of nucleic acid probes that can be utilized to pull down (or capture) genomic loci to detect aberrant somatic hypermutation in B-cell cancers.

Capture sequencing can also be performed utilizing personalized nucleic acid probes designed to detect the existence of an individual's cancer. An individual having a cancer can have their cancer biopsied and sequenced to detect somatic phased variants that have accumulated in the cancer. Based on the sequencing result, in accordance with a number of embodiments, nucleic acid probes are designed and synthesized capable of pulling down the genomic loci inclusive of the positions of where the phased variants. These personalized designed and synthesized nucleic acid probes can be utilized to detect circulating-tumor nucleic acids from a liquid biopsy of that individual. Accordingly, the personalized nucleic acid probes can be useful for determining treatment response and/or detecting MRD after treatment.

In some embodiments of any one of the methods disclosed herein, the sequencing data can be obtained based on any sequencing method that utilizes adapters. Nucleic acid samples (e.g., the plurality of cell-free nucleic acid molecules from the subject, as disclosed herein) can be conjugated with one or more adapters (or adapter sequences) for recognizing (e.g., via hybridization) of the sample or any derivatives thereof (e.g., amplicons). In some examples, the nucleic acid samples can be tagged with a molecular barcode, e.g., such that each cell-free nucleic acid molecule of the plurality of cell-free nucleic acid molecules can have a unique barcode. Alternatively or in addition to, the nucleic acid samples can be tagged with a sample barcode, e.g., such that the plurality of cell-free nucleic acid molecules from the subject (e.g., a plurality of cell-free nucleic acid molecules obtained from a specific bodily tissue of the subject) can have the same barcode.

In alternative embodiments, the methods of identifying one or more cell-free nucleic acid molecules comprising the plurality of phased variants, as disclosed herein, can be performed without molecular barcoding, without sample barcoding, or without molecular barcoding and sample barcoding, at least in part due to high specificity and low LOD achieved by relying on identifying the phased variants as opposed to, e.g., a single SNV.

In some embodiments of any one of the methods disclosed herein, the sequencing data can be obtained and analyzed without in silico removal or suppression of (i) background error and/or (ii) sequencing error, at least in part due to high specificity and low LOD achieved by relying on identifying the phased variants as opposed to, e.g., a single SNV or indel.

In some embodiments of any one of the methods disclosed herein, using the plurality of variants as a condition to identify target cell-free nucleic acid molecules with specific mutations of interest without in silico methods of error suppression can yield a background error-rate that is lower than that of (i) barcode-deduplication, (ii) integrated digital error suppression, or (iii) duplex sequencing by at least about 5-fold, at least about 10-fold, at least about 20-fold, at least about 30-fold, at least about 40-fold, at least about 50-fold, at least about 60-fold, at least about 70-fold, at least about 80-fold, at least about 90-fold, at least about 100-fold, at least about 200-fold, at least about 400-fold, at least about 600-fold, at least about 800-fold, or at least about 1,000-fold. This approach may advantageously increase signal-to-noise ratio (thereby increasing sensitivity and/or specificity) of identifying target cell-free nucleic acid molecules with specific mutations of interest.

In some embodiments of any one of the methods disclosed herein, increasing a minimum number of phased variants (e.g., increasing from at least two phased variants to at least three phased variants) per cell-free nucleic acid molecule required as a condition to identify target cell-free nucleic acid molecules with specific mutations of interest can reduce the background error-rate by at least about 5-fold, at least about 10-fold, at least about 20-fold, at least about 30-fold, at least about 40-fold, at least about 50-fold, at least about 60-fold, at least about 70-fold, at least about 80-fold, at least about 90-fold, or at least about 100-fold. This approach may advantageously increase signal-to-noise ratio (thereby increasing sensitivity and/or specificity) of identifying target cell-free nucleic acid molecules with specific mutations of interest.

In one aspect, the present disclosure provides a method of treating a condition of a subject, as shown in flowchart 2540 in FIG. 25D. The method can comprise (a) identifying the subject for treatment of the condition, wherein the subject has been determined to have the condition based on identification of one or more cell-free nucleic acid molecules from a plurality of cell-free nucleic acid molecules that is obtained or derived from the subject (Process 2542). Each of the identified one or more cell-free nucleic acid molecules can comprise a plurality of phased variants relative to a reference genomic sequence. At least a portion (e.g., partial or all) of the plurality of phased variants can be separated by at least one nucleotide, such that a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide, as disclosed herein. In some cases, a presence of the plurality of phased variants is indicative of the condition (e.g., a disease, such as cancer) of the subject. The method can further comprise (b) subjecting the subject to the treatment based on the step (a) (process 2544). Examples of such treatment of the condition of the subject are disclosed elsewhere in the present disclosure.

In one aspect, the present disclosure provides a method of monitoring a progress (e.g., progression or regression) of a condition of a subject, as shown in flowchart 2550 in FIG. 25E. The method can comprise (a) determining a first state of the condition of the subject based on identification of a first set of one or more cell-free nucleic acid molecules from a first plurality of cell-free nucleic acid molecules that is obtained or derived from the subject (process 2552). The method can further comprise (b) determining a second state of the condition of the subject based on identification of a second set of one or more cell-free nucleic acid molecules from a second plurality of cell-free nucleic acid molecules that is obtained or derived from the subject (process 2554). The second plurality of cell-free nucleic acid molecules can be obtained from the subject subsequent to obtaining the first plurality of cell-free nucleic acid molecules from the subject. The method can optionally comprise (c) determining the progress (e.g., progression or regression) of the condition based at least in part on the first state of the condition and the second state of the condition (process 2556). In some cases, each of the one or more cell-free nucleic acid molecules identified (e.g., each of the first set of one or more cell-free nucleic acid molecules identified, each of the second set of one or more cell-free nucleic acid molecules identified) can comprise a plurality of phased variants relative to a reference genomic sequence. At least a portion (e.g., partial or all) of the one or more cell-free nucleic acid molecules identified can be separated by at least one nucleotide, as disclosed herein. In some cases, presence of the plurality of phased variants can be indicative of a state of the condition of the subject.

In some cases, the first plurality of cell-free nucleic acid molecules from the subject can be obtained (e.g., via blood biopsy) and analyzed to determine (e.g., diagnose) a first state of the condition (e.g., a disease, such as cancer) of the subject. The first plurality of cell-free nucleic acid molecules can be analyzed via any of the methods disclosed herein (e.g., with or without sequencing) to identify the first set of one or more cell-free nucleic acid molecules comprising the plurality of phased variants, and the presence or characteristics of the first set of one or more cell-free nucleic acid molecules can be used to determine the first state of the condition (e.g., an initial diagnosis) of the subject. Based on the determined first state of the condition, the subject can be subjected to one or more treatments (e.g., chemotherapy) as disclosed herein. Subsequent to the one or more treatments, the second plurality of cell-free nucleic acid molecules can be obtained from the subject.

In some cases, the subject can be subjected to at least or up to about 1 treatment, at least or up to about 2 treatments, at least or up to about 3 treatments, at least or up to about 4 treatments, at least or up to about 5 treatments, at least or up to about 6 treatments, at least or up to about 7 treatments, at least or up to about 8 treatments, at least or up to about 9 treatments, or at least or up to about 10 treatments based on the determined first state of the condition. In some cases, the subject can be subjected to a plurality of treatments based on the determined first state of the condition, and a first treatment of the plurality of treatments and a second treatment of the plurality of treatments can be separated by at least or up to about 1 day, at least or up to about 7 days, at least or up to about 2 weeks, at least or up to about 3 weeks, at least or up to about 4 weeks, at least or up to about 2 months, at least or up to about 3 months, at least or up to about 4 months, at least or up to about 5 months, at least or up to about 6 months, at least or up to about 12 months, at least or up to about 2 years, at least or up to about 3 years, at least or up to about 4 years, at least or up to about 5 years, or at least or up to about 10 years. The plurality of treatments for the subject can be the same. Alternatively, the plurality of treatments can be different by drug type (e.g., different chemotherapeutic drugs), drug dosage (e.g., increasing dosage, decreasing dosage), presence or absence of a co-therapeutic agent (e.g., chemotherapy and immunotherapy), modes of administration (e.g., intravenous vs oral administrations), frequency of administration (e.g., daily, weekly, monthly), etc.

In some cases, the subject may not and need not be treated for the condition between determination of the first state of the condition and determination of the second state of the condition. For example, without any intervening treatment, the second plurality of cell-free nucleic acid molecules may be contained (e.g., via liquid biopsy) from the subject to confirm whether the subject still exhibits indications of the first state of the condition.

In some cases, the second plurality of cell-free nucleic acid molecules from the subject can be obtained (e.g., via blood biopsy) at least or up to about 1 day, at least or up to about 7 days, at least or up to about 2 weeks, at least or up to about 3 weeks, at least or up to about 4 weeks, at least or up to about 2 months, at least or up to about 3 months, at least or up to about 4 months, at least or up to about 5 months, at least or up to about 6 months, at least or up to about 12 months, at least or up to about 2 years, at least or up to about 3 years, at least or up to about 4 years, at least or up to about 5 years, or at least or up to about 10 years after obtaining the first plurality of cell-free nucleic acid molecules from the subject.

In some cases, at least or up to about 2, at least or up to about 3, at least or up to about 4, at least or up to about 5, at least or up to about 6, at least or up to about 7, at least or up to about 8, at least or up to about 9, or at least or up to about 10 different samples comprising a plurality of nucleic acid molecules (e.g., at least the first plurality of cell-free nucleic acid molecules and the second plurality of cell-free nucleic acid molecules) can be obtained over time (e.g., once every month for 6 months, once every two months for a year, once every three months for a year, once every 6 months for one or more years, etc.) to monitor the progress of the condition of the subject, as disclosed herein.

In some cases, the step of determining the progress of the condition based on the first state of the condition and the second state of the condition can comprise comparing one or more characteristics of the first state and the second state of the condition, such as, for example, (i) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants in each state (e.g., per equal weight or volume of the biological sample of origin, per equal number of initial cell-free nucleic acid molecules analyzed, etc.), (ii) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants (i.e., two or more phased variants), or (iii) a number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants divided by a total number of cell-free nucleic acid molecules that comprise a mutation that overlaps with some of the plurality of phased variants (i.e., phased variant allele frequency). Based on such comparison, MRD of the condition (e.g., cancer or tumor) of the subject can be determined. For example, tumor burden or cancer burden of the subject can be determined based on such comparison.

In some cases, the progress of the condition can be progression or worsening of the condition. In an example, the worsening of the condition can comprise developing of a cancer from an earlier stage to a later stage, such as from stage I cancer to stage III cancer. In another example, the worsening of the condition can comprise increasing size (e.g., volume) of a solid tumor. Yet in a different example, the worsening of the condition can comprise cancer metastasis from once location to another location within the subject's body.

In some examples, (i) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants from the second state of the condition of the subject can be higher than (ii) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants from the first state of the condition of the subject by at least or up to about 0.1-fold, at least or up to about 0.2-fold, at least or up to about 0.3-fold, at least or up to about 0.4-fold, at least or up to about 0.5-fold, at least or up to about 0.6-fold, at least or up to about 0.7-fold, at least or up to about 0.8-fold, at least or up to about 0.9-fold, at least or up to about 1-fold, at least or up to about 2-fold, at least or up to about 3-fold, at least or up to about 4-fold, at least or up to about 5-fold, at least or up to about 6-fold, at least or up to about 7-fold, at least or up to about 8-fold, at least or up to about 9-fold, at least or up to about 10-fold, at least or up to about 15-fold, at least or up to about 20-fold, at least or up to about 30-fold, at least or up to about 40-fold, at least or up to about 50-fold, at least or up to about 60-fold, at least or up to about 70-fold, at least or up to about 80-fold, at least or up to about 90-fold, at least or up to about 100-fold, at least or up to about 200-fold, at least or up to about 300-fold, at least or up to about 400-fold, or at least or up to about 500-fold.

In some examples, (i) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants from the second state of the condition of the subject can be higher than (ii) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants from the first state of the condition of the subject by at least or up to about 0.1-fold, at least or up to about 0.2-fold, at least or up to about 0.3-fold, at least or up to about 0.4-fold, at least or up to about 0.5-fold, at least or up to about 0.6-fold, at least or up to about 0.7-fold, at least or up to about 0.8-fold, at least or up to about 0.9-fold, at least or up to about 1-fold, at least or up to about 2-fold, at least or up to about 3-fold, at least or up to about 4-fold, at least or up to about 5-fold, at least or up to about 6-fold, at least or up to about 7-fold, at least or up to about 8-fold, at least or up to about 9-fold, at least or up to about 10-fold, at least or up to about 15-fold, at least or up to about 20-fold, at least or up to about 30-fold, at least or up to about 40-fold, at least or up to about 50-fold, at least or up to about 60-fold, at least or up to about 70-fold, at least or up to about 80-fold, at least or up to about 90-fold, at least or up to about 100-fold, at least or up to about 200-fold, at least or up to about 300-fold, at least or up to about 400-fold, or at least or up to about 500-fold.

In some cases, the progress of the condition can be regression or at least a partial remission of the condition. In an example, the at least the partial remission of the condition can comprise downstaging of a cancer from a later stage to an earlier stage, such as from stage IV cancer to stage II cancer. Alternatively, the at least the partial remission of the condition can be full remission from cancer. In another example, the at least the partial remission of the condition can comprise decreasing size (e.g., volume) of a solid tumor.

In some examples, (i) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants from the second state of the condition of the subject can be lower than (ii) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants from the first state of the condition of the subject by at least or up to about 0.1-fold, at least or up to about 0.2-fold, at least or up to about 0.3-fold, at least or up to about 0.4-fold, at least or up to about 0.5-fold, at least or up to about 0.6-fold, at least or up to about 0.7-fold, at least or up to about 0.8-fold, at least or up to about 0.9-fold, at least or up to about 1-fold, at least or up to about 2-fold, at least or up to about 3-fold, at least or up to about 4-fold, at least or up to about 5-fold, at least or up to about 6-fold, at least or up to about 7-fold, at least or up to about 8-fold, at least or up to about 9-fold, at least or up to about 10-fold, at least or up to about 15-fold, at least or up to about 20-fold, at least or up to about 30-fold, at least or up to about 40-fold, at least or up to about 50-fold, at least or up to about 60-fold, at least or up to about 70-fold, at least or up to about 80-fold, at least or up to about 90-fold, at least or up to about 100-fold, at least or up to about 200-fold, at least or up to about 300-fold, at least or up to about 400-fold, or at least or up to about 500-fold.

In some examples, (i) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants from the second state of the condition of the subject can be lower than (ii) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants from the first state of the condition of the subject by at least or up to about 0.1-fold, at least or up to about 0.2-fold, at least or up to about 0.3-fold, at least or up to about 0.4-fold, at least or up to about 0.5-fold, at least or up to about 0.6-fold, at least or up to about 0.7-fold, at least or up to about 0.8-fold, at least or up to about 0.9-fold, at least or up to about 1-fold, at least or up to about 2-fold, at least or up to about 3-fold, at least or up to about 4-fold, at least or up to about 5-fold, at least or up to about 6-fold, at least or up to about 7-fold, at least or up to about 8-fold, at least or up to about 9-fold, at least or up to about 10-fold, at least or up to about 15-fold, at least or up to about 20-fold, at least or up to about 30-fold, at least or up to about 40-fold, at least or up to about 50-fold, at least or up to about 60-fold, at least or up to about 70-fold, at least or up to about 80-fold, at least or up to about 90-fold, at least or up to about 100-fold, at least or up to about 200-fold, at least or up to about 300-fold, at least or up to about 400-fold, or at least or up to about 500-fold.

In some cases, the progress of the condition can remain substantially the same between the two states of the condition of the subject. In some examples, (i) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants from the second state of the condition of the subject can be about the same as (ii) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants from the first state of the condition of the subject. In some examples, (i) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants from the second state of the condition of the subject can about the same as (ii) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants from the first state of the condition of the subject.

In some embodiments of any one of the methods disclosed herein, the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can be identified from the plurality of cell-free nucleic acid molecules by one or more sequencing methods. Alternatively or in addition to, the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can be identified by being pulled down from (or captured from among) the plurality of cell-free nucleic acid molecules with a set of nucleic acid probes. The pull down (or capture) method via the set of nucleic acid probes can be sufficient to identify the one or more cell-free nucleic acid molecules of interest without sequencing. In some cases, the set of nucleic acid probes can be configured to hybridize to at least a portion of cell-free nucleic acid (e.g., cfDNA) molecules from one or more genomic regions associated with the condition of the subject. As such, a presence of one or more cell-free nucleic acid molecules that have been pulled down by the set of nucleic acid probes can be an indication that the one or more cell-free nucleic acid molecules are derived from the condition (e.g., ctDNA or ctRNA). Additional details of the set of nucleic probes are disclosed elsewhere the present disclosure.

In some embodiments of any one of the methods disclosed herein, based the sequencing data derived from the plurality of cell-free nucleic acid molecules (e.g., cfDNA) that is obtained or derived from the subject, (i) the one or more cell-free nucleic acid molecules identified to comprise the plurality of phased variants can be separated, in silico, from (ii) one or more other cell-free nucleic acid molecules that are not identified to comprise the plurality of phased variants (or one or more other cell-free nucleic acid molecules that do not comprise the plurality of phased variants). In some cases, the method can further comprise generating an additional data comprising sequencing information of only (i) the one or more cell-free nucleic acid molecules identified to comprise the plurality of phased variants. In some cases, the method can further comprise generating a different data comprising sequencing information of only (ii) the one or more other cell-free nucleic acid molecules that are not identified to comprise the plurality of phased variants (or the one or more other cell-free nucleic acid molecules that do not comprise the plurality of phased variants).

In one aspect, the present disclosure provides a method for determining a condition of the subject, as shown by flowchart 2560 in FIG. 25F. The method can comprise (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules obtained or derived from the subject (process 2562). In some cases, an individual nucleic acid probe of the set of nucleic acid probes can be designed to hybridize to a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide. As such, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants can be separated by at least one nucleotide, as disclosed herein. In some cases, the individual nucleic acid probe can comprise an activatable reporter agent. The activatable reporter agent can be activated by either one of (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants. The method can further comprise (b) detecting the reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules (process 2564). Each of the one or more cell-free nucleic acid molecules can comprise the plurality of phased variants. The method can optionally comprise (c) analyzing at least a portion of the identified one or more cell-free nucleic acid molecules to determine the condition of the subject (process 2566).

In one aspect, the present disclosure provides a method for determining a condition of the subject, as shown by flowchart 2570 in FIG. 25G. The method can comprise (a) providing a mixture comprising (1) a set of nucleic acid probes and (2) a plurality of cell-free nucleic acid molecules obtained or derived from the subject (process 2572). In some cases, an individual nucleic acid probe of the set of nucleic acid probes can be designed to hybridize to a target cell-free nucleic acid molecule comprising a plurality of phased variants relative to a reference genomic sequence. In some cases, the individual nucleic acid probe can comprise an activatable reporter agent. The activatable reporter agent can be activated by either one of (i) hybridization of the individual nucleic acid probe to the plurality of phased variants and (ii) dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants. The method can further comprise (b) detecting the reporter agent that is activated, to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules (process 2574). Each of the one or more cell-free nucleic acid molecules can comprise the plurality of phased variants, and a LOD of the identification step can be less than about 1 out of 50,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, as disclosed herein. The method can optionally comprise (c) analyzing at least a portion of the identified one or more cell-free nucleic acid molecules to determine the condition of the subject (process 2576).

In some cases, a first phased variant of the plurality of phased variants and a second phased variant of the plurality of phased variants are separated by at least one nucleotide, as disclosed herein.

In some cases, the LOD of the step of identifying the one or more cell-free nucleic acid molecules, as disclosed herein, can be less than about 1 out of 60,000, less than 1 out of 70,000, less than 10 out of 80,000, less than 1 out of 90,000, less than 1 out of 100,000, less than 1 out of 150,000, less than 1 out of 200,000, less than 1 out of 300,000, less than 1 out of 400,000, less than 1 out of 500,000, less than 1 out of 600,000, less than 1 out of 700,000, less than 1 out of 800,000, less than 1 out of 900,000, less than 1 out of 1,000,000, less than 1 out of 1,000,000, less than 1 out of 1,100,000, less than 1 out of 1,200,000, less than 1 out of 1,300,000, less than 1 out of 1,400,000, less than 1 out of 1,500,000, less than 1 out of 2,000,000, less than 1 out of 2,500,000, less than 1 out of 3,000,000, less than 1 out of 4,000,000, or less than 1 out of 5,000,000 cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules. Generally, a detection method with a lower LOD has a greater sensitivity of such detection.

In some embodiments of any one of the methods disclosed herein, the method can further comprise mixing (1) the set of nucleic acid probes and (2) the plurality of cell-free nucleic acid molecules.

In some embodiments of any one of the methods disclosed herein, the activatable reporter agent of a nucleic acid probe can be activated upon hybridization of the individual nucleic acid probe to the plurality of phased variants. Non-limiting examples of such nucleic acid probe can include a molecular beacon, eclipse probe, amplifluor probe, scorpions PCR primer, and light upon extension fluorogenic PCR primer (LUX primer).

For example, the nucleic acid probe can be a molecular beacon, as shown in FIG. 26A. The molecular beacon can be fluorescently labeled (e.g., dye-labeled) oligonucleotide probe that comprises complementarity to a target cell-free nucleic acid molecule 2603 in a region that comprises the plurality of phased variants. The molecular beacon can have a length between about 25 nucleotides to about 50 nucleotides. The molecular beacon can also be designed to be partially self-complimentary, such that it form a hairpin structure with a stem 2601 a and a loop 2601 b. The 5′ and 3′ ends of the molecular beacon probe can have complementary sequences (e.g., about 5-6 nucleotides) that form the stem structure 2601 a. The loop portion 2601 b of the hairpin can be designed to specifically hybridize to a portion (e.g., about 15-30 nucleotides) of the target sequence comprising two or more phased variants. The hairpin can be designed to hybridize to a portion that comprises at least 2, 3, 4, 5, or more phased variants. A fluorescent reporter molecule can be attached to the 5′ end of the molecular beacon probe, and a quencher that quenches fluorescence of the fluorescent reporter can be attached to the 3′ end of the molecular beacon probe. Formation of the hairpin therefore can bring the fluorescent reporter and quencher together, such that no fluorescence is emitted. However, during annealing operation of amplification reaction of the plurality of cell-free nucleic acid molecules that is obtained or derived from the subject, the loop portion of the molecular beacon can bind to its target sequence, causing the stem to denature. Thus, the reporter and quencher can be separated, abolishing quenching, and the fluorescent reporter is activated and detectable. Because fluorescence of the fluorescent reporter is emitted from the molecular beacon probe only when the probe is bound to the target sequence, the amount or level of fluorescence detected can be proportional to the amount of target in the reaction (e.g., (i) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants in each state or (ii) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants, as disclosed herein).

In some embodiments of any one of the methods disclosed herein, the activatable reporter agent can be activated upon dehybridization of at least a portion of the individual nucleic acid probe that has been hybridized to the plurality of phased variants. In other words, once the individual nucleic acid probe is hybridized to target cell-free nucleic acid molecule's portion that comprises the plurality of phased variants, dehybridization of at least a portion of the individual nucleic acid prob and the target cell-free nucleic acid can activate the activatable reporter agent. Non-limiting examples of such nucleic acid probe can include a hydrolysis probe (e.g., TaqMan prob), dual hybridization probes, and QZyme PCR primer.

For example, the nucleic acid probe can be a hydrolysis probe, as shown in FIG. 26B. The hydrolysis probe 2611 can be a fluorescently labeled oligonucleotide probe that can specifically hybridize to a portion (e.g., between about 10 and about 25 nucleotides) of the target cell-free nucleic acid molecule 2613, wherein the hybridized portion comprises two or more phased variants. The hydrolysis probe 2611 can be labeled with a fluorescent reporter at the 5′ end and a quencher at the 3′ end. When the hydrolysis probe is intact (e.g., not cleaved), the fluorescence of the reporter is quenched due to its proximity to the quencher (FIG. 26B). During annealing operation of amplification reaction of the plurality of cell-free nucleic acid molecules obtained or derived from the subject, 5′→3′ exonuclease activity of certain thermostable polymerases (e.g., Taq or Tth) The amplification reaction of the plurality of cell-free nucleic acid molecules obtained or derived from the subject can include a combined annealing/extension operation during which the hydrolysis probe hybridizes to the target cell-free nucleic acid molecule, and the dsDNA-specific 5′→3′ exonuclease activity of a thermostable polymerase (e.g., Taq or Tth) cleaves off the fluorescent reporter from the hydrolysis probe. As a result, the fluorescent reporter is separated from the quencher, resulting in a fluorescence signal that is proportional to the amount of target in the sample (e.g., (i) a total number of cell-free nucleic acid molecules identified to comprise the plurality of phased variants in each state or (ii) an average number of the plurality of phased variants per each cell-free nucleic acid molecule identified to comprise a plurality of phased variants, as disclosed herein).

In some embodiments of any one of the methods disclosed herein, the reporter agent can comprise a fluorescent reporter. Non-limiting examples of a fluorescent reporter include fluorescein amidite (FAM, 2-[3-(dimethylamino)-6-dimethyliminio-xanthen-9-yl]benzoate TAMRA, (2E)-2-[(2E,4E)-5-(2-tert-butyl-9-ethyl-6,8,8-trimethyl-pyrano[3,2-g]quinolin-1-ium-4-yl)penta-2,4-dienylidene]-1-(6-hydroxy-6-oxo-hexyl)-3,3-dimethyl-indoline-5-sulfonate Dy 750, 6-carboxy-2′,4,4′,5′,7,7′-hexachlorofluorescein, 4,5,6,7-Tetrachlorofluorescein TET™ sulforhodamine 101 acid chloride succinimidyl ester Texas Red-X, ALEXA Dyes, Bodipy Dyes, cyanine Dyes, Rhodamine 123 (hydrochloride), Well RED Dyes, MAX, and TEX 613. In some cases, the reporter agent further comprises a quencher, as disclosed herein. Non-limiting examples of a quencher can include Black Hole Quencher, Iowa Black Quencher, and 4-dimethylaminoazobenzene-4′-sulfonyl chloride (DABCYL).

In some embodiments of any one of the methods disclosed herein, any PCR reaction utilizing the set of nucleic acid probes can be performed using real-time PCR (qPCR). Alternatively, the PCR reaction utilizing the set of nucleic acid probes can be performed using digital PCR (dPCR).

Provided in FIG. 24 is an example flowchart of a process to perform a clinical intervention and/or treatment based on detecting circulating-tumor nucleic acids in an individual's biological sample. In several embodiments, detection of circulating-tumor nucleic acids is determined by the detection of somatic variants in phase in a cell-free nucleic acid sample. In many embodiments, detection of circulating-tumor nucleic acids indicates cancer is present, and thus appropriate clinical intervention and/or treatment can be performed.

Referring to FIG. 24, process 2400 can begin with obtaining, preparing, and sequencing (2401) cell-free nucleic acids obtained from a non-invasive biopsy (e.g., liquid or waste biopsy), utilizing a capture sequencing approach across regions shown to harbor a plurality of genetic mutations or variants occurring in phase. In several embodiments, cfDNA and/or cfRNA is extracted from plasma, blood, lymph, saliva, urine, stool, and/or other appropriate bodily fluid. Cell-free nucleic acids can be isolated and purified by any appropriate means. In some embodiments, column purification is utilized (e.g., QIAamp Circulating Nucleic Acid Kit from Qiagen, Hilden, Germany). In some embodiments, isolated RNA fragments can be converted into complementary DNA for further downstream analysis.

In some embodiments, a biopsy is extracted prior to any indication of cancer. In some embodiments, a biopsy is extracted to provide an early screen in order to detect a cancer. In some embodiments, a biopsy is extracted to detect if residual cancer exists after a treatment. In some embodiments, a biopsy is extracted during treatment to determine whether the treatment is providing the desired response. Screening of any particular cancer can be performed. In some embodiments, screening is performed to detect a cancer that develops somatic phased variants in stereotypical regions in the genome, such as (for example) lymphoma. In some embodiments, screening is performed to detect a cancer in which somatic phased variants were discovered utilizing a prior extracted cancer biopsy.

In some embodiments, a biopsy is extracted from an individual with a determined risk of developing cancer, such as those with a familial history of the disorder or have determined risk factors (e.g., exposure to carcinogens). In many embodiments, a biopsy is extracted from any individual within the general population. In some embodiments, a biopsy is extracted from individuals within a particular age group with higher risk of cancer, such as, for example, aging individuals above the age of 50. In some embodiments, a biopsy is extracted from an individual diagnosed with and treated for a cancer.

In some embodiments, extracted cell-free nucleic acids are prepared for sequencing. Accordingly, cell-free nucleic acids are converted into a molecular library for sequencing. In some embodiments, adapters and/or primers are attached onto cell-free nucleic acids to facilitate sequencing. In some embodiments, targeted sequencing of particular genomic loci is to be performed, and thus particular sequences corresponding to the particular loci are captured via hybridization prior to sequencing (e.g., capture sequencing). In some embodiments, capture sequencing is performed utilizing a set of probes that pull down (or capture) regions that have been discovered to commonly harbor phased variants for a particular cancer (e.g., lymphoma). In some embodiments, capture sequencing is performed utilizing a set of probes that pull down (or capture) regions that have been discovered to harbor phased variants as determined prior by sequencing a biopsy of the cancer. More detailed discussion of capture sequencing and probes is provided in the section entitled “Capture Sequencing.”

In some embodiments, any appropriate sequencing technique can be utilized that can detect phased variants indicative of circulating-tumor nucleic acids. Sequencing techniques include (but are not limited to) 454 sequencing, Illumina sequencing, SOLiD sequencing, Ion Torrent sequencing, single-read sequencing, paired-end sequencing, etc.

Process 2400 analyzes (2403) the cell-free nucleic acid sequencing result to detect circulating-tumor nucleic acid sequences, as determined by detection of somatic variants occurring in phase. Because cancers are actively growing and expanding, neoplastic cells are often releasing biomolecules (especially nucleic acids) into the vasculature, lymph, and/or waste systems. In addition, due to biophysical constraints in their local environment, neoplastic cells are often rupturing, releasing their inner cell contents into the vasculature, lymph, and/or waste systems. Accordingly, it is possible to detect distal primary tumors and/or metastases from a liquid or waste biopsy.

Detection of circulating-tumor nucleic acid sequences indicates that a cancer is present in the individual being examined. Accordingly, based on detection of circulating-tumor nucleic acids, a clinical intervention and/or treatment may be performed (2405). In a number of embodiments, a clinical procedure is performed, such as (for example) a blood test, genetic test, medical imaging, physical exam, a tumor biopsy, or any combination thereof. In several embodiments, diagnostics are preformed to determine the particular stage of cancer. In a number of embodiments, a treatment is performed, such as (for example) chemotherapy, radiotherapy, chemoradiotherapy, immunotherapy, hormone therapy, targeted drug therapy, surgery, transplant, transfusion, medical surveillance, or any combination thereof. In some embodiments, an individual is assessed and/or treated by medical professional, such as a doctor, physician, physician's assistant, nurse practitioner, nurse, caretaker, dietician, or similar.

Various embodiments of the present disclosure are directed towards utilizing detection of cancer to perform clinical interventions. In a number of embodiments, an individual has a liquid or waste biopsy screened and processed by methods described herein to indicate that the individual has cancer and thus an intervention is to be performed. Clinical interventions include clinical procedures and treatments. Clinical procedures include (but are not limited to) blood tests, genetic test, medical imaging, physical exams, and tumor biopsies. Treatments include (but are not limited to) chemotherapy, radiotherapy, chemoradiotherapy, immunotherapy, hormone therapy, targeted drug therapy, surgery, transplant, transfusion, and medical surveillance. In several embodiments, diagnostics are performed to determine the particular stage of cancer. In some embodiments, an individual is assessed and/or treated by medical professional, such as a doctor, physician, physician's assistant, nurse practitioner, nurse, caretaker, dietician, or similar.

In several embodiments as described herein a cancer can be detected utilizing a sequencing result of cell-free nucleic acids derived from blood, serum, cerebrospinal fluid, lymph fluid, urine or stool. In many embodiments, cancer is detected when a sequencing result has one or more somatic variants present in phase within a short genetic window, such as the length of a cell-free molecule (e.g., about 170 bp). In numerous embodiments, a statistical method is utilized to determine whether the presence of phased variants is derived from a cancerous source (as opposed to molecular artifact or other biological source). Various embodiments utilize a Monte Carlo sampling method as the statistical method to determine whether a sequencing result of cell-free nucleic acids includes sequences of circulating-tumor nucleic acids based on a score as determined by the presence of phased variants. Accordingly, in a number of embodiments, cell-free nucleic acids are extracted, processed, and sequenced, and the sequencing result is analyzed to detect cancer. This process is especially useful in a clinical setting to provide a diagnostic scan.

An exemplary procedure for a diagnostic scan of an individual for a B-cell cancer is as follows:

(a) extract liquid or waste biopsy from individual,

(b) prepare and perform targeted sequencing of cell-free nucleic acids from biopsy utilizing nucleic acid probes specific for the B-cell cancer,

(c) detect phased variants in a sequencing results that are indicative of circulating-tumor nucleic acid sequences, and

(d) perform clinical intervention based on detection of circulating-tumor nucleic acid sequences.

An exemplary procedure for a personalized diagnostic scan of an individual for a cancer that has been previously sequenced to detect phased variants in particular genomic loci is as follows:

extract cancer biopsy from individual sequence cancer biopsy to detect phased variants that have accumulated in the cancer

(a) design and synthesize nucleic acid probes for genomic loci that include the positions of the detected phased variants,

(b) extract liquid or waste biopsy from individual,

(c) prepare and perform targeted sequencing of cell-free nucleic acids from biopsy utilizing the designed and synthesized nucleic acid probes,

(d) detect phased variants in a sequencing results that are indicative of circulating-tumor nucleic acid sequences, and

(e) perform clinical intervention based on detection of circulating-tumor nucleic acid sequences.

In some embodiments of any one of the methods disclosed herein, at least a portion of the identified one or more cell-free nucleic acid molecules comprising the plurality of phased variants can be further analyzed for determining the condition of the subject. In such analysis, (i) the identified one or more cell-free nucleic acid molecules and (ii) other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants can be analyzed as different variables. In some cases, a ratio of (i) a number the identified one or more cell-free nucleic acid molecules and (ii) a number of the other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants can be used a factor to determine the condition of the subject. In some cases, comparison of (i) a position(s) of the identified one or more cell-free nucleic acid molecules relative to the reference genomic sequence and (ii) a position(s) of the other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants relative to the reference genomic sequence can be used a factor to determine the condition of the subject.

Alternatively, in some cases, the analysis of the identified one or more cell-free nucleic acid molecules comprising the plurality of phased variants for determining the condition of the subject may not and need not be based on the other cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules that do not comprise the plurality of phased variants. As disclosed herein, non-limiting examples of information or characteristics of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can include (i) a total number of such cell-free nucleic acid molecules and (ii) an average number of the plurality of phased variations per each nucleic acid molecule in the population of identified cell-free nucleic acid molecules.

Thus, in some embodiments of any one of the methods disclosed herein, a number of the plurality of phased variants from the one or more cell-free nucleic acid molecules that have been identified to have the plurality of phased variants can be indicative of the condition of the subject. In some cases, a ratio of (i) the number of the plurality of phased variants from the one or more cell-free nucleic acid molecules and (ii) a number of single nucleotide variants from the one or more cell-free nucleic acid molecules can be indicative of the condition of the subject. For instance, a particular condition (e.g., follicular lymphoma) can exhibit a signature ratio that is different than that of another condition (e.g., breast cancer). In some examples, for cancer or solid tumor, the ratio as disclosed herein can be between about 0.01 and about 0.20. In some examples, for cancer or solid tumor, the ratio as disclosed herein can be about 0.01, about 0.02, about 0.03, about 0.04, about 0.05, about 0.06, about 0.07, about 0.08, about 0.09, about 0.10, about 0.11, about 0.12, about 0.13, about 0.14, about 0.15, about 0.16, about 0.17, about 0.18, about 0.19, or about 0.20. In some examples, for cancer or solid tumor, the ratio as disclosed herein can be at least or up to about 0.01, at least or up to about 0.02, at least or up to about 0.03, at least or up to about 0.04, at least or up to about 0.05, at least or up to about 0.06, at least or up to about 0.07, at least or up to about 0.08, at least or up to about 0.09, at least or up to about 0.10, at least or up to about 0.11, at least or up to about 0.12, at least or up to about 0.13, at least or up to about 0.14, at least or up to about 0.15, at least or up to about 0.16, at least or up to about 0.17, at least or up to about 0.18, at least or up to about 0.19, or at least or up to about 0.20.

In some embodiments of any one of the methods disclosed herein, a frequency of the plurality of phased variants in the one or more cell-free nucleic acid molecules that have been identified can be indicative of the condition of the subject. In some cases, based on the sequencing data disclosed herein, an average frequency of the plurality of phased variant per a predetermined bin length (e.g., a bin of about 50 base pairs) within each of the identified cell-free nucleic acid molecule can be indicative of the condition of the subject. In some cases, based on the sequencing data disclosed herein, an average frequency of the plurality of phased variant per a predetermined bin length (e.g., a bin of about 50 base pairs) within each of the identified cell-free nucleic acid molecule that is associated with a particular gene (e.g., BCL2, PIM1) can be indicative of the condition of the subject. The size of the bin can be about 30, about 40, about 50, about 60, about 70, or about 80.

In some examples, a first condition (e.g., Hodgkin lymphoma or HL) can exhibit a first average frequency and a second condition (e.g., DLBCL) can exhibit a different average frequency, thereby allowing identification and/or determination of whether the subject has or is suspected of having a particular condition. In some examples, a first sub-type of a disease can exhibit a first average frequency and a second sub-type of the same disease can exhibit a different average frequency, thereby allowing identification and/or determination of whether the subject has or is suspected of having a particular sub-type of the disease. For example, the subject can have DLBCL, and one or more cell-free nucleic acid molecules derived from germinal center B-cell (GCB) DLBCL or activated B-cell (ABC) DLBCL can have different average frequency of the plurality of phased variant per a predetermined bin length, as disclosed herein.

In some example, a condition of the subject may have a predetermined number of phased variants spanning predetermined genomic loci (i.e., a predetermined frequency of phased variants). When the predetermined frequency of phased variants match a frequency of the plurality of phased variants in the one or more cell-free nucleic acid molecules that have been identified from a plurality of cell-free nucleic acid molecules from the subject, it may indicate that the subject has such condition.

In some embodiments of any one of the methods disclosed herein, the one or more cell-free nucleic acid molecules identified to comprise the plurality of phased variants can be analyzed to determine their genomic origin (e.g., which gene locus they are from). The genomic origin of the one or more cell-free nucleic acid molecules that have been identified can be indicative of the condition of the subject, as different disease can have the plurality of phased variants in different signature genes. For example, a subject can have GCB DLBCL, and one or more cell-free nucleic acid molecules originated from GCBs of the subject can have the phased variants prevalent in BCL2 gene, while one or more cell-free nucleic acid molecules originated from ABCs of the same subject may not comprise as many phased variants in the BCL2 gene as those from GCBs. On the other hand, a subject can have ABC DLBCL, and one or more cell-free nucleic acid molecules originated from ABCs of the subject can have the phased variants prevalent in PIM1 gene, while one or more cell-free nucleic acid molecules originated from GCBs of the same subject may not comprise as many phased variants in the PIM1 gene as those from ABCs.

In some embodiments of any one of the methods disclosed herein, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, at least or up to about 50%, at least or up to about 55%, at least or up to about 60%, at least or up to about 65%, at least or up to about 70%, at least or up to about 75%, at least or up to about 80%, at least or up to about 85%, at least or up to about 90%, at least or up to about 95%, at least or up to about 99%, or about 100% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 2 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 3 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 4 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 5 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 6 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 7 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 8 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 9 nucleotides away from an adjacent SNV.

In some embodiments of any one of the methods disclosed herein, at least or up to about 5%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, or at least or up to about 50% of the one or more cell-free nucleic acid molecules comprising the plurality of phased variants can comprise a single nucleotide variant (SNV) that is at least 10 nucleotides away from an adjacent SNV.

C. REFERENCE GENOMIC SEQUENCE

In some embodiments of any one of the methods disclosed herein, the reference genomic sequence can be at least a portion of a nucleic acid sequence database (i.e., a reference genome), which database is assembled from genetic data and intended to represent the genome of a reference cohort. In some cases, a reference cohort can be a collection of individuals from a specific or varying genotype, haplotype, demographics, sex, nationality, age, ethnicity, relatives, physical condition (e.g., healthy or having been diagnosed to have the same or different condition, such as a specific type of cancer), or other groupings. A reference genomic sequence as disclosed herein can be a mosaic (or a consensus sequence) of the genomes of two or more individuals. The reference genomic sequence can comprise at least a portion of a publicly available reference genome or a private reference genome. Non-limiting examples of a human reference genome include hg19, hg18, hg17, hg16, and hg38.

In some examples, the reference genomic sequence can comprise at least or up to about 500 nucleobases, at least or up to about 1 kilobase (kb), at least or up to about 2 kb, at least or up to about 3 kb, at least or up to about 4 kb, at least or up to about 5 kb, at least or up to about 6 kb, at least or up to about 7 kb, at least or up to about 8 kb, at least or up to about 9 kb, at least or up to about 10 kb, at least or up to about 20 kb, at least or up to about 30 kb, at least or up to about 40 kb, at least or up to about 50 kb, at least or up to about 60 kb, at least or up to about 70 kb, at least or up to about 80 kb, at least or up to about 90 kb, at least or up to about 100 kb, at least or up to about 200 kb, at least or up to about 300 kb, at least or up to about 400 kb, at least or up to about 500 kb, at least or up to about 600 kb, at least or up to about 700 kb, at least or up to about 800 kb, at least or up to about 900 kb, at least or up to about 1,000 kb, at least or up to about 2,000 kb, at least or up to about 3,000 kb, at least or up to about 4,000 kb, at least or up to about 5,000 kb, at least or up to about 6,000 kb, at least or up to about 7,000 kb, at least or up to about 8,000 kb, at least or up to about 9,000 kb, at least or up to about 10,000 kb, at least or up to about 20,000 kb, at least or up to about 30,000 kb, at least or up to about 40,000 kb, at least or up to about 50,000 kb, at least or up to about 60,000 kb, at least or up to about 70,000 kb, at least or up to about 80,000 kb, at least or up to about 90,000 kb, or at least or up to about 100,000 kb.

In some cases, the reference genomic sequence can be whole reference genome or a portion (e.g., a portion relevant to the condition of interest) of the genome. For example, the reference genomic sequence can consist of at least 1, 2, 3, 4, 5, or more genes that experience aberrant somatic hypermutation under certain types of cancer. In some cases, the reference genomic sequence can be a whole chromosomal sequence, or a fragment thereof. In some cases, the reference genomic sequence can comprise two or more (e.g., at least 2, 3, 4, 5, or more) different portions of the reference genome that are not adjacent to one another (e.g., within the same chromosome or from different chromosomes).

In some embodiments of any one of the methods disclosed herein, the reference genomic sequence can be at least a portion of a reference genome of a selected individual, such as a healthy individual or the subject of any of the methods as disclosed herein.

In some cases, the reference genomic sequence can be derived from an individual who is not the subject (e.g., a healthy control individual). Alternatively, in some cases, the reference genomic sequence can be derived from a sample of the subject. In some examples, the sample can be a healthy sample of the subject. The healthy sample of the subject can be any subject cell that is healthy, e.g., a healthy leukocyte. By comparing sequencing data of the plurality of cell-free nucleic acid molecules (e.g., cfDNA molecules) of the subject against at least a portion of the genomic sequence of a healthy cell of the same subject, one or more cell-free nucleic acid molecules that comprise the plurality of phased variants can be identified and analyzed, as disclosed herein. In some examples, the sample can be a diseased sample of the subject, such as a diseased cell (e.g., a tumor cell) or a solid tumor. The reference genomic sequence can be obtained from sequencing at least a portion of a diseased cell of the subject or from sequencing a plurality of cell-free nucleic acid molecules obtained from the solid tumor of the subject. Once the subject is diagnosed to have a particular condition (e.g., a disease), the reference genomic sequence of the subject that comprises the plurality of phased variants can be used to determine whether the subject still exhibits the same phased variants at future time points. In this context, any new phased variants identified between the “diseased” reference genomic sequence of the subject and new cell-free nucleic acid molecules obtained or derived from the subject can indicate a reduced degree of aberrant somatic hypermutation in particular genomic loci (e.g., at least a partial remission).

In various embodiments, diagnostic scans can be performed for any neoplasm type, including (but not limited to) acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), anal cancer, astrocytomas, basal cell carcinoma, bile duct cancer, bladder cancer, breast cancer, Burkitt's lymphoma, cervical cancer, chronic lymphocytic leukemia (CLL) chronic myelogenous leukemia (CML), chronic myeloproliferative neoplasms, colorectal cancer, diffuse large B-cell lymphoma, endometrial cancer, ependymoma, esophageal cancer, esthesioneuroblastoma, Ewing sarcoma, fallopian tube cancer, follicular lymphoma, gallbladder cancer, gastric cancer, gastrointestinal carcinoid tumor, hairy cell leukemia, hepatocellular cancer, Hodgkin lymphoma, hypopharyngeal cancer, Kaposi sarcoma, Kidney cancer, Langerhans cell histiocytosis, laryngeal cancer, leukemia, liver cancer, lung cancer, lymphoma, melanoma, Merkel cell cancer, mesothelioma, mouth cancer, neuroblastoma, non-Hodgkin lymphoma, non-small cell lung cancer, osteosarcoma, ovarian cancer, pancreatic cancer, pancreatic neuroendocrine tumors, pharyngeal cancer, pituitary tumor, prostate cancer, rectal cancer, renal cell cancer, retinoblastoma, skin cancer, small cell lung cancer, small intestine cancer, squamous neck cancer, T-cell lymphoma, testicular cancer, thymoma, thyroid cancer, uterine cancer, vaginal cancer, and vascular tumors.

In a number of embodiments, a diagnostic scan is utilized to provide an early detection of cancer. In some embodiments, a diagnostic scan detects cancer in individuals having stage I, II, or III cancer. In some embodiments, a diagnostic scan is utilized to detect MRD or tumor burden. In some embodiments, a diagnostic scan is utilized to determine progress (e.g., progression or regression) of treatment. Based on the diagnostic scan, a clinical procedure and/or treatment may be performed.

D. NUCLEIC ACID PROBES

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes can be designed based on the any of the subject reference genomic sequences of the present disclosure. In some cases, the set of nucleic acid probes can be designed based on the plurality of phased variants that have been identified by comparing (i) sequencing data from a solid tumor of the subject and (ii) sequencing data from a healthy cell of the subject or a healthy cohort, as disclosed herein. The set of nucleic acid probes can be designed based on the plurality of phased variants that have been identified by comparing (i) sequencing data from a solid tumor of the subject and (ii) sequencing data from a healthy cell of the subject. The set of nucleic acid probes can be designed based on the plurality of phased variants that have been identified by comparing

(i) sequencing data from a solid tumor of the subject and (ii) sequencing data from a healthy cell of a healthy cohort.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes are designed to hybridize to sequences of genomic loci associated with the condition. As disclosed herein, the genomic loci associated with the condition can be determined to experience or exhibit aberrant somatic hypermutation when the subject has the condition. Alternatively, the set of nucleic acid probes are designed to hybridize to sequences of stereotyped regions.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes can be designed to hybridize to at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, at least about 95%, at least about 99%, or about 100% of the genomic regions identified in Table 1.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes can be designed to hybridize to at least a portion of cell-free nucleic acid (e.g., cfDNA) molecules derived from at least about 5%, at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90%, at least about 95%, at least about 99%, or about 100% of the genomic regions identified in Table 1.

In some embodiments of any one of the methods disclosed herein, each nucleic acid probe of the set of nucleic acid probes can have at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90% sequence identity, at least about 95% sequence identity, at least about 99%, or about 100% sequence identity to a probe sequence selected from Table 6.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes can comprise at least about 1%, at least about 2%, at least about 3%, at least about 4%, at least about 5%, at least about 6%, at least about 7%, at least about 8%, at least about 9%, at least about 10%, at least about 15%, at least about 20%, at least about 25%, at least about 30%, at least about 35%, at least about 40%, at least about 45%, at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 95%, at least about 99%, or about 100% of probe sequences in Table 6.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes can be designed to cover one or more target genomic regions comprising at least or up to about 500 nucleobases, at least or up to about 1 kilobase (kb), at least or up to about 2 kb, at least or up to about 3 kb, at least or up to about 4 kb, at least or up to about 5 kb, at least or up to about 6 kb, at least or up to about 7 kb, at least or up to about 8 kb, at least or up to about 9 kb, at least or up to about 10 kb, at least or up to about 20 kb, at least or up to about 30 kb, at least or up to about 40 kb, at least or up to about 50 kb, at least or up to about 60 kb, at least or up to about 70 kb, at least or up to about 80 kb, at least or up to about 90 kb, at least or up to about 100 kb, at least or up to about 200 kb, at least or up to about 300 kb, at least or up to about 400 kb, or at least or up to about 500 kb.

In some embodiments of any one of the methods disclosed herein, a target genomic region (e.g., a target genomic locus) of the one or more target genomic regions can comprise at most about 200 nucleobases, at most about 300 nucleobases, 400 nucleobases, at most about 500 nucleobases, at most about 600 nucleobases, at most about 700 nucleobases, at most about 800 nucleobases, at most about 900 nucleobases, at most about 1 kb, at most about 2 kb, at most about 3 kb, at most about 4 kb, at most about 5 kb, at most about 6 kb, at most about 7 kb, at most about 8 kb, at most about 9 kb, at most about 10 kb, at most about 11 kb, at most about 12 kb, at most about 13 kb, at most about 14 kb, at most about 15 kb, at most about 16 kb, at most about 17 kb, at most about 18 kb, at most about 19 kb, at most about 20 kb, at most about 25 kb, at most about 30 kb, at most about 35 kb, at most about 40 kb, at most about 45 kb, at most about 50 kb, or at most about 100 kb.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes can comprise at least or up to about 10, at least or up to about 20, at least or up to about 30, at least or up to about 40, at least or up to about 50, at least or up to about 60, at least or up to about 70, at least or up to about 80, at least or up to about 90, at least or up to about 100, at least or up to about 200, at least or up to about 300, at least or up to about 400, at least or up to about 500, at least or up to about 600, at least or up to about 700, at least or up to about 800, at least or up to about 900, at least or up to about 1,000, at least or up to about 2,000, at least or up to about 3,000, at least or up to about 4,000, or at least or up to about 5,000 different nucleic acid probes designed to hybridize to different target nucleic acid sequences.

In some embodiments of any one of the methods disclosed herein, the set of nucleic acid probes can have a length of at least or up to about 50, at least or up to about 55, at least or up to about 60, at least or up to about 65, at least or up to about 70, at least or up to about 75, at least or up to about 80, at least or up to about 85, at least or up to about 90, at least or up to about 95, or at least or up to about 100 nucleotides.

In one aspect, the present disclosure provides a composition comprising a bait set comprising any one of the set of nucleic acid probes disclosed herein. The composition comprising such bait set can be used for any of the methods disclosed herein. In some cases, the set of nucleic acid probes can be designed to pull down (or capture) cfDNA molecules. In some cases, the set of nucleic acid probes can be designed to pull down (or capture) cfRNA molecules.

In some embodiments, the bait set can comprise a set of nucleic acid probes designed to pull down cell-free nucleic acid (e.g., cfDNA) molecules derived from genomic regions set forth in Table 1. The set of nucleic acid probes can be designed to pull down cell-free nucleic acid molecules derived from at least or up to about 1%, at least or up to about 2%, at least or up to about 3%, at least or up to about 4%, at least or up to about 5%, at least or up to about 6%, at least or up to about 7%, at least or up to about 8%, at least or up to about 9%, at least or up to about 10%, at least or up to about 15%, at least or up to about 20%, at least or up to about 25%, at least or up to about 30%, at least or up to about 35%, at least or up to about 40%, at least or up to about 45%, at least or up to about 50%, at least or up to about 55%, at least or up to about 60%, at least or up to about 65%, at least or up to about 70%, at least or up to about 75%, at least or up to about 80%, at least or up to about 85%, at least or up to about 90%, at least or up to about 95%, at least or up to about 99%, or about 100% of the genomic regions set forth in Table 1. In some cases, the set of nucleic acid probes can be designed to pull down cfDNA molecules. In some cases, the set of nucleic acid probes can be designed to pull down cfRNA molecules.

In some embodiments of any one of the compositions disclosed herein, an individual nucleic acid probe (or each nucleic acid probe) of the set of nucleic acid probes can comprise a pull-down tag. The pull-down tag can be used to enrich a sample (e.g., a sample comprising the plurality of nucleic acid molecules obtained or derived from the subject) for a specific subset (e.g., for cell-free nucleic acid molecules comprising the plurality of phased variants as disclosed herein).

In some cases, pull-down tag can comprise a nucleic acid barcode (e.g., on either or both sides of the nucleic acid probe). By utilizing beads or substrates comprising nucleic acid sequences having complementarity to the nucleic acid barcode, the nucleic acid barcode can be used to pull-down and enrich for any nucleic acid probe that is hybridized to a target cell-free nucleic acid molecule. Alternatively or in addition to, the nucleic acid barcode can be used to identify the target cell-free nucleic acid molecule from any sequencing data (e.g., sequencing by amplification) obtained by using any of the set of nucleic acid probes disclosed herein.

In some cases, the pull-down tag can comprise an affinity target moiety that can be specifically recognized and bound by an affinity binding moiety. The affinity binding moiety specifically can bind the affinity target moiety to form an affinity pair. In some cases, by utilizing beads or substrates comprising the affinity binding moiety, the affinity target moiety can be used to pull-down and enrich for any nucleic acid probe that is hybridized to a target cell-free nucleic acid molecule. Alternatively, the pull-down tag can comprise the affinity binding moiety, while the beads/substrates can comprise the affinity target moiety. Non-limiting examples of the affinity pair can include biotin/avidin, antibody/antigen, biotin/streptavidin, metal/chelator, ligand/receptor, nucleic acid and binding protein, and complementary nucleic acids. In an example, the pull-down tag can comprise biotin.

In some embodiments of any one of the compositions disclosed herein, a length of a target cell-free nucleic acid (e.g., cfDNA) molecule that is to be pulled down by any subject nucleic acid probe can be about 100 nucleotides to about 200 nucleotides. The length of the target cell-free nucleic acid molecule can be at least about 100 nucleotides. The length of the target cell-free nucleic acid molecule can be at most about 200 nucleotides. The length of the target cell-free nucleic acid molecule can be about 100 nucleotides to about 110 nucleotides, about 100 nucleotides to about 120 nucleotides, about 100 nucleotides to about 130 nucleotides, about 100 nucleotides to about 140 nucleotides, about 100 nucleotides to about 150 nucleotides, about 100 nucleotides to about 160 nucleotides, about 100 nucleotides to about 170 nucleotides, about 100 nucleotides to about 180 nucleotides, about 100 nucleotides to about 190 nucleotides, about 100 nucleotides to about 200 nucleotides, about 110 nucleotides to about 120 nucleotides, about 110 nucleotides to about 130 nucleotides, about 110 nucleotides to about 140 nucleotides, about 110 nucleotides to about 150 nucleotides, about 110 nucleotides to about 160 nucleotides, about 110 nucleotides to about 170 nucleotides, about 110 nucleotides to about 180 nucleotides, about 110 nucleotides to about 190 nucleotides, about 110 nucleotides to about 200 nucleotides, about 120 nucleotides to about 130 nucleotides, about 120 nucleotides to about 140 nucleotides, about 120 nucleotides to about 150 nucleotides, about 120 nucleotides to about 160 nucleotides, about 120 nucleotides to about 170 nucleotides, about 120 nucleotides to about 180 nucleotides, about 120 nucleotides to about 190 nucleotides, about 120 nucleotides to about 200 nucleotides, about 130 nucleotides to about 140 nucleotides, about 130 nucleotides to about 150 nucleotides, about 130 nucleotides to about 160 nucleotides, about 130 nucleotides to about 170 nucleotides, about 130 nucleotides to about 180 nucleotides, about 130 nucleotides to about 190 nucleotides, about 130 nucleotides to about 200 nucleotides, about 140 nucleotides to about 150 nucleotides, about 140 nucleotides to about 160 nucleotides, about 140 nucleotides to about 170 nucleotides, about 140 nucleotides to about 180 nucleotides, about 140 nucleotides to about 190 nucleotides, about 140 nucleotides to about 200 nucleotides, about 150 nucleotides to about 160 nucleotides, about 150 nucleotides to about 170 nucleotides, about 150 nucleotides to about 180 nucleotides, about 150 nucleotides to about 190 nucleotides, about 150 nucleotides to about 200 nucleotides, about 160 nucleotides to about 170 nucleotides, about 160 nucleotides to about 180 nucleotides, about 160 nucleotides to about 190 nucleotides, about 160 nucleotides to about 200 nucleotides, about 170 nucleotides to about 180 nucleotides, about 170 nucleotides to about 190 nucleotides, about 170 nucleotides to about 200 nucleotides, about 180 nucleotides to about 190 nucleotides, about 180 nucleotides to about 200 nucleotides, or about 190 nucleotides to about 200 nucleotides. The length of the target cell-free nucleic acid molecule can be about 100 nucleotides, about 110 nucleotides, about 120 nucleotides, about 130 nucleotides, about 140 nucleotides, about 150 nucleotides, about 160 nucleotides, about 170 nucleotides, about 180 nucleotides, about 190 nucleotides, or about 200 nucleotides. In some examples, the length of the target cell-free nucleic acid molecule can range between about 100 nucleotides and about 180 nucleotides.

In some embodiments of any one of the compositions disclosed herein, the genomic regions can be associated with a condition. The genomic regions can be determined to exhibit aberrant somatic hypermutation when a subject has the condition. For example, the condition can comprise B-cell lymphoma or a sub-type thereof, such as diffuse large B-cell lymphoma, follicular lymphoma, Burkitt lymphoma, and B-cell chronic lymphocytic leukemia. Additional details of the condition are provided below.

In some embodiments of any one of the compositions disclosed herein, the composition further comprises the plurality of cell-free nucleic acid (e.g., cfDNA) molecules obtained or derived from the subject.

E. DIAGNOSTIC OR THERAPEUTIC APPLICATIONS

A number of embodiments are directed towards performing a diagnostic scan on cell-free nucleic acids of an individual and then based on results of the scan indicating cancer, performing further clinical procedures and/or treating the individual. In accordance with various embodiments, numerous types of neoplasms can be detected.

In some embodiments of any one of the methods disclosed herein, the method can comprise determining that the subject has the condition or determining a degree or status of the condition of the subject, based on the one or more cell-free nucleic acid molecules comprising the plurality of phased variants. In some cases, the method can further comprise determining that the one or more cell-free nucleic acid molecules (each identified to comprise a plurality of phased variants) are derived from a sample associated with the condition (e.g., cancer), based on a statistical model analysis (i.e., molecular analysis). For example, the method can comprise using one or more algorithms (e.g., Monte Carlos simulation) to determine a first probability of a cell-free nucleic acid identified to have a plurality of phased variants being associated with or originated from a first condition (e.g., 80%) and a second probability of the same cell-free nucleic acid being associated with or originated from a second condition (or from a healthy cell) (e.g., 20%). In some cases, the method can comprise determining a likelihood or probability that the subject has one or more conditions based on analysis of the one or more cell-free nucleic acid molecules each identified to comprise a plurality of phased variants (i.e., macro- or global analysis). For example, the method can comprise using one or more algorithms (e.g., comprising one or more mathematical models as disclosed herein, such as binomial sampling) to analyze a plurality of cell-free nucleic acid molecules each identified to comprise a plurality of phased variants, thereby to determine a first probability of the subject having a first condition (e.g., 80%) and a second probability of the subject having a second condition (or being healthy) (e.g., 20%).

The statistical model analysis as disclosed herein can be an approximate solution by a numerical approximation such as a binomial model, a ternary model, a Monte Carlo simulation, or a finite difference method. In an example, the statistical model analysis as used herein can be a Monte Carlo statistical analysis. In another example, the statistical model analysis as used herein can be a binomial or ternary model analysis.

In some embodiments of any one of the methods disclosed herein, the method can comprise monitoring a progress of the condition of the subject based on the one or more cell-free nucleic acid molecules identified, such that each of the identified cell-free nucleic acid molecule comprises a plurality of phased variants. In some cases, the progress of the condition can be worsening of the condition, as described in the present disclosure (e.g., developing from stage I cancer to stage III cancer). In some cases, the progress of the condition can be at least a partial remission of the condition, as described in the present disclosure (e.g., downstaging from stage IV cancer to stage II cancer). Alternatively, in some cases, the progress of the condition can remain substantially the same between two different time points, as described in the present disclosure. In an example, the method can comprise determining likelihoods or probabilities of different progresses of the condition of the subject. For example, the method can comprise using one or more algorithms (e.g., comprising one or more mathematical models as disclosed herein, such as binomial sampling) to determine a first probability of the subject's condition being worse than before (e.g., 20%), a second probability of at least partial remission of the condition (e.g., 70%), and a third probability that the subject's condition is the same as before (e.g., 10%).

In some embodiments of any one of the methods disclosed herein, the method can comprise comprising performing a different procedure (e.g., follow-up diagnostic procedures) to confirm the condition of the subject, which condition has been determined and/or monitored progress thereof, as provided in the present disclosure. Non-limiting examples of a different procedure can include physical exam, medical imaging, genetic test, mammography, endoscopy, stool sampling, pap test, alpha-fetoprotein blood test, CA-125 test, prostate-specific antigen (PSA) test, biopsy extraction, bone marrow aspiration, and tumor marker detection tests. Medical imaging includes (but is not limited to) X-ray, magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, and positron emission tomography (PET). Endoscopy includes (but is not limited to) bronchoscopy, colonoscopy, colposcopy, cystoscopy, esophagoscopy, gastroscopy, laparoscopy, neuroendoscopy, proctoscopy, and sigmoidoscopy.

In some embodiments of any one of the methods disclosed herein, the method can comprise determining a treatment for the condition of the subject based on the one or more cell-free nucleic acid molecules identified, each identified cell-free nucleic acid molecule comprising a plurality of phased variants. In some cases, the treatment can be determined based on (i) the determined condition of the subject and/or (ii) the determined progress of the condition of the subject. In addition, the treatment can be determined based on one or more additional factors of the following: sex, nationality, age, ethnicity, and other physical conditions of the subject. In some examples, the treatment can be determined based on one or more features of the plurality of phased variants of the identified cell-free nucleic acid molecules, as disclosed herein.

In some embodiments of any one of the methods disclosed herein, the subject may not have been subjected to any treatment for the condition, e.g., the subject may not have been diagnosed with the condition (e.g., a lymphoma). In some embodiments of any one of the methods disclosed herein, the subject may been subjected to a treatment for the condition prior to any subject method of the present disclosure. In some cases, the methods disclosed herein can be performed to monitor progress of the condition that the subject has been diagnosed with, thereby to (i) determine efficacy of the previous treatment and (ii) assess whether to keep the treatment, modify the treatment, or cancel the treatment in favor of a new treatment.

In some embodiments of any one of the methods disclosed herein, non-limiting examples of a treatment (e.g., prior treatment, new treatment to be determined based on the methods of the present disclosure, etc.) can include chemotherapy, radiotherapy, chemoradiotherapy, immunotherapy, adoptive cell therapy (e.g., chimeric antigen receptor (CAR) T cell therapy, CAR NK cell therapy, modified T cell receptor (TCR) T cell therapy, etc.) hormone therapy, targeted drug therapy, surgery, transplant, transfusion, or medical surveillance.

In some embodiments of any one of the methods disclosed herein, the condition can comprise a disease. In some embodiments of any one of the methods disclosed herein, the condition can comprise neoplasm, cancer, or tumor. In an example, the condition can comprise a solid tumor. In another example, the condition can comprise a lymphoma, such as B-cell lymphoma (BCL). Non-limiting examples of BCL can include diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt lymphoma (BL), B-cell chronic lymphocytic leukemia (CLL), Marginal zone B-cell lymphoma (MZL), and Mantle cell lymphoma (MCL).

As disclosed herein, a treatment for a condition of subject can comprise administering the subject with one or more therapeutic agents. The one or more therapeutic drugs can be administered to the subject by one or more of the following: orally, intraperitoneally, intravenously, intraarterially, transdermally, intramuscularly, liposomally, via local delivery by catheter or stent, subcutaneously, intraadiposally, and intrathecally.

Non-limiting examples of the therapeutic drugs can include cytotoxic agents, chemotherapeutic agents, growth inhibitory agents, agents used in radiation therapy, anti-angiogenesis agents, apoptotic agents, anti-tubulin agents, and other agents to treat cancer, for example, anti-CD20 antibodies, anti-PD1 antibodies (e.g., Pembrolizumab) platelet derived growth factor inhibitors (e.g., GLEEVEC™ (imatinib mesylate)), a COX-2 inhibitor (e.g., celecoxib), interferons, cytokines, antagonists (e.g., neutralizing antibodies) that bind to one or more of the following targets PDGFR-β, BlyS, APRIL, BCMA receptor(s), TRAIL/Apo2, other bioactive and organic chemical agents, and the like.

Non-limiting examples of a cytotoxic agent can include radioactive isotopes (e.g., At211, I131, I125, Y90, Re186, Re188, Sm153, Bi212, P32, and radioactive isotopes of Lu), chemotherapeutic agents, e.g., methotrexate, adriamycin, vinca alkaloids (vincristine, vinblastine, etoposide), doxorubicin, melphalan, mitomycin C, chlorambucil, daunorubicin or other intercalating agents, enzymes and fragments thereof such as nucleolytic enzymes, antibiotics, and toxins such as small molecule toxins or enzymatically active toxins of bacterial, fungal, plant or animal origin.

Non-limiting examples of a chemotherapeutic agent can include alkylating agents such as thiotepa and CYTOXAN® cyclophosphamide; alkyl sulfonates such as busulfan, improsulfan and piposulfan; aziridines such as benzodopa, carboquone, meturedopa, and uredopa; ethylenimines and methylamelamines including altretamine, triethylenemelamine, triethylenephosphoramide, triethiylenethiophosphoramide and trimethylolmelamine; acetogenins (especially bullatacin and bullatacinone); delta-9-tetrahydrocannabinol (dronabinol, MARINOL®); beta-lapachone; lapachol; colchicines; betulinic acid; a camptothecin (including the synthetic analogue topotecan (HYCAMTIN®), CPT-11 (irinotecan, CAMPTOSAR®), acetylcamptothecin, scopolectin, and 9-aminocamptothecin); bryostatin; callystatin; CC-1065 (including its adozelesin, carzelesin and bizelesin synthetic analogues); podophyllotoxin; podophyllinic acid; teniposide; cryptophycins (particularly cryptophycin 1 and cryptophycin 8); dolastatin; duocarmycin (including the synthetic analogues, KW-2189 and CB1-TM1); eleutherobin; pancratistatin; a sarcodictyin; spongistatin; nitrogen mustards such as chlorambucil, chlornaphazine, cyclophosphamide, estramustine, ifosfamide, mechlorethamine, mechlorethamine oxide hydrochloride, melphalan, novembichin, phenesterine, prednimustine, trofosfamide, uracil mustard; nitrosoureas such as carmustine, chlorozotocin, fotemustine, lomustine, nimustine, and ranimnustine; antibiotics such as the enediyne antibiotics; dynemicin, including dynemicin A; an espiramicina; as well as neocarzinostatin chromophore and related chromoprotein enediyne antibiotic chromophores), aclacinomycins, actinomycin, anthramycin, azaserine, bleomycins, cactinomycin, carabicin, carminomycin, carzinophilin, chromomycinis, dactinomycin, daunorubicin, detorubicin, 6-diazo-5-oxo-L-norleucine, ADRIAMYCIN® doxorubicin (including morpholino-doxorubicin, cyanomorpholino-doxorubicin, 2-pyrrolino-doxorubicin and deoxydoxorubicin), epirubicin, esorubicin, idarubicin, marcellomycin, mitomycins such as mitomycin C, mycophenolic acid, nogalamycin, olivomycins, peplomycin, potfiromycin, puromycin, quelamycin, rodorubicin, streptonigrin, streptozocin, tubercidin, ubenimex, zinostatin, zorubicin; anti-metabolites such as methotrexate and 5-fluorouracil (5-FU); folic acid analogues such as denopterin, methotrexate, pteropterin, trimetrexate; purine analogs such as fludarabine, 6-mercaptopurine, thiamiprine, thioguanine; pyrimidine analogs such as ancitabine, azacitidine, 6-azauridine, carmofur, cytarabine, dideoxyuridine, doxifluridine, enocitabine, floxuridine; androgens such as calusterone, dromostanolone propionate, epitiostanol, mepitiostane, testolactone; anti-adrenals such as aminoglutethimide, mitotane, trilostane; folic acid replenisher such as folinic acid; aceglatone; aldophosphamide glycoside; aminolevulinic acid; eniluracil; amsacrine; bestrabucil; bisantrene; edatraxate; defofamine; demecolcine; diaziquone; eflornithine; elliptinium acetate; an epothilone; etoglucid; gallium nitrate; hydroxyurea; lentinan; lonidainine; maytansinoids such as maytansine and ansamitocins; mitoguazone; mitoxantrone; mopidanmol; nitraerine; pentostatin; phenamet; pirarubicin; losoxantrone; 2-ethylhydrazide; procarbazine; PSK® polysaccharide complex (JHS Natural Products, Eugene, Oreg.); razoxane; rhizoxin; sizofiran; spirogermanium; tenuazonic acid; triaziquone; 2,2′,2″-trichlorotriethylamine; trichothecenes (especially T-2 toxin, verrucarin A, roridin A and anguidine); urethan; vindesine (ELDISINE®, FILDESIN®); dacarbazine; mannomustine; mitobronitol; mitolactol; pipobroman; gacytosine; arabinoside (“Ara-C”); thiotepa; taxoids, for example taxanes including TAXOL® paclitaxel (Bristol-Myers Squibb Oncology, Princeton, N.J.), ABRAXANE™ Cremophor-free, albumin-engineered nanoparticle formulation of paclitaxel (American Pharmaceutical Partners, Schaumberg, Ill.), and TAXOTERE® docetaxel (Rhône-Poulenc Rorer, Antony, France); chlorambucil; gemcitabine (GEMZAR®); 6-thioguanine; mercaptopurine; methotrexate; platinum analogs such as cisplatin and carboplatin; vinblastine (VELBAN®); platinum; etoposide (VP-16); ifosfamide; mitoxantrone; vincristine (ONCOVIN®); oxaliplatin; leucovovin; vinorelbine (NAVELBINE®); novantrone; edatrexate; daunomycin; aminopterin; ibandronate; topoisomerase inhibitor RF S 2000; difluoromethylornithine (DMFO); retinoids such as retinoic acid; capecitabine (XELODA®); pharmaceutically acceptable salts, acids or derivatives of any of the above; as well as combinations of two or more of the above such as CHOP, an abbreviation for a combined therapy of cyclophosphamide, doxorubicin, vincristine, and prednisolone, and FOLFOX, an abbreviation for a treatment regimen with oxaliplatin (ELOXATIN™) combined with 5-FU and leucovorin.

Examples of a chemotherapeutic agent can also include “anti-hormonal agents” or “endocrine therapeutics” that act to regulate, reduce, block, or inhibit the effects of hormones that can promote the growth of cancer, and are often in the form of systemic, or whole-body treatment. They may be hormones themselves. Examples include anti-estrogens and selective estrogen receptor modulators (SERMs), including, for example, tamoxifen (including NOLVADEX® tamoxifen), EVISTA® raloxifene, droloxifene, 4-hydroxytamoxifen, trioxifene, keoxifene, LY117018, onapristone, and FARESTON® toremifene; anti-progesterones; estrogen receptor down-regulators (ERDs); agents that function to suppress or shut down the ovaries, for example, leutinizing hormone-releasing hormone (LHRH) agonists such as LUPRON® and ELIGARD) leuprolide acetate, goserelin acetate, buserelin acetate and tripterelin; other anti-androgens such as flutamide, nilutamide and bicalutamide; and aromatase inhibitors that inhibit the enzyme aromatase, which regulates estrogen production in the adrenal glands, such as, for example, 4(5)-imidazoles, aminoglutethimide, MEGASE® megestrol acetate, AROMASIN® exemestane, formestanie, fadrozole, RIVISOR® vorozole, FEMARA® letrozole, and ARIMIDEX® anastrozole. In addition, such definition of chemotherapeutic agents includes bisphosphonates such as clodronate (for example, BONEFOS® or OSTAC®), DIDROCAL® etidronate, NE-58095, ZOMETA® zoledronic acid/zoledronate, FOSAMAX® alendronate, AREDIA® pamidronate, SKELID® tiludronate, or ACTONEL® risedronate; as well as troxacitabine (a 1,3-dioxolane nucleoside cytosine analog); antisense oligonucleotides, particularly those that inhibit expression of genes in signaling pathways implicated in abherant cell proliferation, such as, for example, PKC-alpha, Raf, H-Ras, and epidermal growth factor receptor (EGFR); vaccines such as THERATOPE® vaccine and gene therapy vaccines, for example, ALLOVECTIN® vaccine, LEUVECTIN® vaccine, and VAXID® vaccine; LURTOTECAN® topoisomerase 1 inhibitor; ABARELIX® rmRH; lapatinib ditosylate (an ErbB-2 and EGFR dual tyrosine kinase small-molecule inhibitor also known as GW572016); and pharmaceutically acceptable salts, acids or derivatives of any of the above.

Examples of a chemotherapeutic agent can also include antibodies such as alemtuzumab (Campath), bevacizumab (AVASTIN®, Genentech); cetuximab (ERBITUX®, Imclone); panitumumab (VECTIBIX®, Amgen), rituximab (RITUXAN®, Genentech/Biogen Idec), pertuzumab (OMNITARG®, 2C4, Genentech), trastuzumab (HERCEPTIN®, Genentech), tositumomab (Bexxar, Corixia), and the antibody drug conjugate, gemtuzumab ozogamicin (MYLOTARG®, Wyeth). Additional humanized monoclonal antibodies with therapeutic potential as agents in combination with the compounds of the invention include: apolizumab, aselizumab, atlizumab, bapineuzumab, bivatuzumab mertansine, cantuzumab mertansine, cedelizumab, certolizumab pegol, cidfusituzumab, cidtuzumab, daclizumab, eculizumab, efalizumab, epratuzumab, erlizumab, feMzumab, fontolizumab, gemtuzumab ozogamicin, inotuzumab ozogamicin, ipilimumab, labetuzumab, lintuzumab, matuzumab, mepolizumab, motavizumab, motovizumab, natalizumab, nimotuzumab, nolovizumab, numavizumab, ocrelizumab, omalizumab, palivizumab, pascolizumab, pecfusituzumab, pectuzumab, pexelizumab, ralivizumab, ranibizumab, reslivizumab, reslizumab, resyvizumab, rovelizumab, ruplizumab, sibrotuzumab, siplizumab, sontuzumab, tacatuzumab tetraxetan, tadocizumab, talizumab, tefibazumab, tocilizumab, toralizumab, tucotuzumab celmoleukin, tucusituzumab, umavizumab, urtoxazumab, ustekinumab, visilizumab, and the anti-interleukin-12 (ABT-874/J695, Wyeth Research and Abbott Laboratories) which is a recombinant exclusively human-sequence, full-length IgG1λ antibody genetically modified to recognize interleukin-12 p40 protein.

Examples of a chemotherapeutic agent can also include “tyrosine kinase inhibitors” such as an EGFR-targeting agent (e.g., small molecule, antibody, etc.); small molecule HER2 tyrosine kinase inhibitor such as TAK165 available from Takeda; CP-724,714, an oral selective inhibitor of the ErbB2 receptor tyrosine kinase (Pfizer and OSI); dual-HER inhibitors such as EKB-569 (available from Wyeth) which preferentially binds EGFR but inhibits both HER2 and EGFR-overexpressing cells; lapatinib (GSK572016; available from Glaxo-SmithKline), an oral HER2 and EGFR tyrosine kinase inhibitor; PKI-166 (available from Novartis); pan-HER inhibitors such as canertinib (CI-1033; Pharmacia); Raf-1 inhibitors such as antisense agent ISIS-5132 available from ISIS Pharmaceuticals which inhibit Raf-1 signaling; non-HER targeted TK inhibitors such as imatinib mesylate (GLEEVEC®, available from Glaxo SmithKline); multi-targeted tyrosine kinase inhibitors such as sunitinib (SUTENT®, available from Pfizer); VEGF receptor tyrosine kinase inhibitors such as vatalanib (PTK787/ZK222584, available from Novartis/Schering AG); MAPK extracellular regulated kinase I inhibitor CI-1040 (available from Pharmacia); quinazolines, such as PD 153035,4-(3-chloroanilino) quinazoline; pyridopyrimidines; pyrimidopyrimidines; pyrrolopyrimidines, such as CGP 59326, CGP 60261 and CGP 62706; pyrazolopyrimidines, 4-(phenylamino)-7H-pyrrolo[2,3-d] pyrimidines; curcumin (diferuloyl methane, 4,5-bis (4-fluoroanilino)phthalimide); tyrphostines containing nitrothiophene moieties; PD-0183805 (Warner-Lamber); antisense molecules (e.g., those that bind to HER-encoding nucleic acid); quinoxalines (U.S. Pat. No. 5,804,396); tryphostins (U.S. Pat. No. 5,804,396); ZD6474 (Astra Zeneca); PTK-787 (Novartis/Schering AG); pan-HER inhibitors such as CI-1033 (Pfizer); Affinitac (ISIS 3521; Isis/Lilly); imatinib mesylate (GLEEVEC®); PKI 166 (Novartis); GW2016 (Glaxo SmithKline); CI-1033 (Pfizer); EKB-569 (Wyeth); Semaxinib (Pfizer); ZD6474 (AstraZeneca); PTK-787 (Novartis/Schering AG); INC-1C11 (Imclone); and rapamycin (sirolimus, RAPAMUNE®).

Examples of a chemotherapeutic agent can also include dexamethasone, interferons, colchicine, metoprine, cyclosporine, amphotericin, metronidazole, alemtuzumab, alitretinoin, allopurinol, amifostine, arsenic trioxide, asparaginase, BCG live, bevacuzimab, bexarotene, cladribine, clofarabine, darbepoetin alfa, denileukin, dexrazoxane, epoetin alfa, elotinib, filgrastim, histrelin acetate, ibritumomab, interferon alfa-2a, interferon alfa-2b, lenalidomide, levamisole, mesna, methoxsalen, nandrolone, nelarabine, nofetumomab, oprelvekin, palifermin, pamidronate, pegademase, pegaspargase, pegfilgrastim, pemetrexed disodium, plicamycin, porfimer sodium, quinacrine, rasburicase, sargramostim, temozolomide, VM-26, 6-TG, toremifene, tretinoin, ATRA, valrubicin, zoledronate, and zoledronic acid, and pharmaceutically acceptable salts thereof.

Examples of a chemotherapeutic agent can also include hydrocortisone, hydrocortisone acetate, cortisone acetate, tixocortol pivalate, triamcinolone acetonide, triamcinolone alcohol, mometasone, amcinonide, budesonide, desonide, fluocinonide, fluocinolone acetonide, betamethasone, betamethasone sodium phosphate, dexamethasone, dexamethasone sodium phosphate, fluocortolone, hydrocortisone-17-butyrate, hydrocortisone-17-valerate, aclometasone dipropionate, betamethasone valerate, betamethasone dipropionate, prednicarbate, clobetasone-17-butyrate, clobetasol-17-propionate, fluocortolone caproate, fluocortolone pivalate and fluprednidene acetate: immune selective anti-inflammatory peptides (ImSAIDs) such as phenylalanine-glutamine-glycine (FEG) and its D-isomeric form (feG) (IMULAN BioTherapeutics, LLC); anti-rheumatic drugs such as azathioprine, ciclosporin (cyclosporine A), D-penicillamine, gold salts, hydroxychloroquine, leflunomideminocycline, sulfasalazine, tumor necrosis factor alpha (TNFα) blockers such as etanercept (ENBREL®), infliximab (REMICADE®), adalimumab (HUMIRA®), certolizumab pegol (CIMZIA®), golimumab (SIMPONI®), Interleukin 1 (IL-1) blockers such as anakinra (KINERET®), T-cell costimulation blockers such as abatacept (ORENCIA®), Interleukin 6 (IL-6) blockers such as tocilizumab (ACTEMERA®); Interleukin 13 (IL-13) blockers such as lebrikizumab; Interferon alpha (IFN) blockers such as rontalizumab; beta 7 integrin blockers such as rhuMAb Beta7; IgE pathway blockers such as Anti-M1 prime; Secreted homotrimeric LTa3 and membrane bound heterotrimer LTa/β2 blockers such as Anti-lymphotoxin alpha (LTa); miscellaneous investigational agents such as thioplatin, PS-341, phenylbutyrate, ET-18-OCH3, or famesyl transferase inhibitors (L-739749, L-744832); polyphenols such as quercetin, resveratrol, piceatannol, epigallocatechine gallate, theaflavins, flavanols, procyanidins, betulinic acid and derivatives thereof; autophagy inhibitors such as chloroquine; delta-9-tetrahydrocannabinol (dronabinol, MARINOL®); beta-lapachone; lapachol; colchicines; betulinic acid; acetylcamptothecin, scopolectin, and 9-aminocamptothecin); podophyllotoxin; tegafur (UFTORAL®); bexarotene (TARGRETIN®); bisphosphonates such as clodronate (for example, BONEFOS® or OSTAC®), etidronate (DIDROCAL®), NE-58095, zoledronic acid/zoledronate (ZOMETA®), alendronate (FOSAMAX®), pamidronate (AREDIA®), tiludronate (SKELID®), or risedronate (ACTONEL®); and epidermal growth factor receptor (EGF-R); vaccines such as THERATOPE® vaccine; perifosine, COX-2 inhibitor (e.g., celecoxib or etoricoxib), proteosome inhibitor (e.g., PS341); CCI-779; tipifamib (R11577); orafenib, ABT510; Bcl-2 inhibitor such as oblimersen sodium (GENASENSE®); pixantrone; famesyltransferase inhibitors such as lonafamib (SCH 6636, SARASAR™); and pharmaceutically acceptable salts, acids or derivatives of any of the above; as well as combinations of two or more of the above.

In accordance with many embodiments, once a diagnosis of cancer is indicated, a number of treatments can be performed, including (but not limited to) surgery, resection, chemotherapy, radiation therapy, immunotherapy, targeted therapy, hormone therapy, stem cell transplant, and blood transfusion. In some embodiments, an anti-cancer and/or chemotherapeutic agent is administered, including (but not limited to) alkylating agents, platinum agents, taxanes, vinca agents, anti-estrogen drugs, aromatase inhibitors, ovarian suppression agents, endocrine/hormonal agents, bisphophonate therapy agents and targeted biological therapy agents. Medications include (but are not limited to) cyclophosphamide, fluorouracil (or 5-fluorouracil or 5-FU), methotrexate, thiotepa, carboplatin, cisplatin, taxanes, paclitaxel, protein-bound paclitaxel, docetaxel, vinorelbine, tamoxifen, raloxifene, toremifene, fulvestrant, gemcitabine, irinotecan, ixabepilone, temozolomide, topotecan, vincristine, vinblastine, eribulin, mutamycin, capecitabine, capecitabine, anastrozole, exemestane, letrozole, leuprolide, abarelix, buserelin, goserelin, megestrol acetate, risedronate, pamidronate, ibandronate, alendronate, zoledronate, tykerb, daunorubicin, doxorubicin, epirubicin, idarubicin, valrubicin mitoxantrone, bevacizumab, cetuximab, ipilimumab, ado-trastuzumab emtansine, afatinib, aldesleukin, alectinib, alemtuzumab, atezolizumab, avelumab, axtinib, belimumab, belinostat, bevacizumab, blinatumomab, bortezomib, bosutinib, brentuximab vedotin, brigatinib, cabozantinib, canakinumab, carfilzomib, certinib, cetuximab, cobimetinib, crizotinib, dabrafenib, daratumumab, dasatinib, denosumab, dinutuximab, durvalumab, elotuzumab, enasidenib, erlotinib, everolimus, gefitinib, ibritumomab tiuxetan, ibrutinib, idelalisib, imatinib, ipilimumab, ixazomib, lapatinib, lenvatinib, midostaurin, necitumumab, neratinib, nilotinib, niraparib, nivolumab, obinutuzumab, ofatumumab, olaparib, olaratumab, osimertinib, palbociclib, panitumumab, panobinostat, pembrolizumab, pertuzumab, ponatinib, ramucirumab, regorafenib, ribociclib, rituximab, romidepsin, rucaparib, ruxolitinib, siltuximab, sipuleucel-T, sonidegib, sorafenib, temsi rolimus, tocilizumab, tofacitinib, tositumomab, trametinib, trastuzumab, vandetanib, vemurafenib, venetoclax, vismodegib, vorinostat, and ziv-aflibercept. In accordance with various embodiments, an individual may be treated, by a single medication or a combination of medications described herein. A common treatment combination is cyclophosphamide, methotrexate, and 5-fluorouracil (CMF).

In some embodiments of any one of the methods disclosed herein, any of the cell-free nucleic acid molecules (e.g., cfDNA, cfRNA) can be derived from a cell. For example, a cell sample or tissue sample may be obtained from a subject and processed to remove all cells from the sample, thereby producing cell-free nucleic acid molecules derived from the sample.

In some embodiments of any one of the methods disclosed herein, a reference genomic sequence can be derived from a cell of an individual. The individual can be a healthy control or the subject who is being subjected to the methods disclosed herein for determining or monitoring progress of a condition.

A cell can be a healthy cell. Alternatively, a cell can be a diseased cell. A diseased cell can have altered metabolic, gene expression, and/or morphologic features. A diseased cell can be a cancer cell, a diabetic cell, and an apoptotic cell. A diseased cell can be a cell from a diseased subject. Exemplary diseases can include blood disorders, cancers, metabolic disorders, eye disorders, organ disorders, musculoskeletal disorders, cardiac disease, and the like.

A cell can be a mammalian cell or derived from a mammalian cell. A cell can be a rodent cell or derived from a rodent cell. A cell can be a human cell or derived from a human cell. A cell can be a prokaryotic cell or derived from a prokaryotic cell. A cell can be a bacterial cell or can be derived from a bacterial cell. A cell can be an archaeal cell or derived from an archaeal cell. A cell can be a eukaryotic cell or derived from a eukaryotic cell. A cell can be a pluripotent stem cell. A cell can be a plant cell or derived from a plant cell. A cell can be an animal cell or derived from an animal cell. A cell can be an invertebrate cell or derived from an invertebrate cell. A cell can be a vertebrate cell or derived from a vertebrate cell. A cell can be a microbe cell or derived from a microbe cell. A cell can be a fungi cell or derived from a fungi cell. A cell can be from a specific organ or tissue.

Non-limiting examples of a cell(s) can include lymphoid cells, such as B cell, T cell (Cytotoxic T cell, Natural Killer T cell, Regulatory T cell, T helper cell), Natural killer cell, cytokine induced killer (CIK) cells; myeloid cells, such as granulocytes (Basophil granulocyte, Eosinophil granulocyte, Neutrophil granulocyte/Hypersegmented neutrophil), Monocyte/Macrophage, Red blood cell (Reticulocyte), Mast cell, Thrombocyte/Megakaryocyte, Dendritic cell; cells from the endocrine system, including thyroid (Thyroid epithelial cell, Parafollicular cell), parathyroid (Parathyroid chief cell, Oxyphil cell), adrenal (Chromaffin cell), pineal (Pinealocyte) cells; cells of the nervous system, including glial cells (Astrocyte, Microglia), Magnocellular neurosecretory cell, Stellate cell, Boettcher cell, and pituitary (Gonadotrope, Corticotrope, Thyrotrope, Somatotrope, Lactotroph); cells of the Respiratory system, including Pneumocyte (Type I pneumocyte, Type II pneumocyte), Clara cell, Goblet cell, Dust cell; cells of the circulatory system, including Myocardiocyte, Pericyte; cells of the digestive system, including stomach (Gastric chief cell, Parietal cell), Goblet cell, Paneth cell, G cells, D cells, ECL cells, I cells, K cells, S cells; enteroendocrine cells, including enterochromaffm cell, APUD cell, liver (Hepatocyte, Kupffer cell), Cartilage/bone/muscle; bone cells, including Osteoblast, Osteocyte, Osteoclast, teeth (Cementoblast, Ameloblast); cartilage cells, including Chondroblast, Chondrocyte; skin cells, including Trichocyte, Keratinocyte, Melanocyte (Nevus cell); muscle cells, including Myocyte; urinary system cells, including Podocyte, Juxtaglomerular cell, Intraglomerular mesangial cell/Extraglomerular mesangial cell, Kidney proximal tubule brush border cell, Macula densa cell; reproductive system cells, including Spermatozoon, Sertoli cell, Leydig cell, Ovum; and other cells, including Adipocyte, Fibroblast, Tendon cell, Epidermal keratinocyte (differentiating epidermal cell), Epidermal basal cell (stem cell), Keratinocyte of fingernails and toenails, Nail bed basal cell (stem cell), Medullary hair shaft cell, Cortical hair shaft cell, Cuticular hair shaft cell, Cuticular hair root sheath cell, Hair root sheath cell of Huxley's layer, Hair root sheath cell of Henle's layer, External hair root sheath cell, Hair matrix cell (stem cell), Wet stratified barrier epithelial cells, Surface epithelial cell of stratified squamous epithelium of cornea, tongue, oral cavity, esophagus, anal canal, distal urethra and vagina, basal cell (stem cell) of epithelia of cornea, tongue, oral cavity, esophagus, anal canal, distal urethra and vagina, Urinary epithelium cell (lining urinary bladder and urinary ducts), Exocrine secretory epithelial cells, Salivary gland mucous cell (polysaccharide-rich secretion), Salivary gland serous cell (glycoprotein enzyme-rich secretion), Von Ebner's gland cell in tongue (washes taste buds), Mammary gland cell (milk secretion), Lacrimal gland cell (tear secretion), Ceruminous gland cell in ear (wax secretion), Eccrine sweat gland dark cell (glycoprotein secretion), Eccrine sweat gland clear cell (small molecule secretion). Apocrine sweat gland cell (odoriferous secretion, sex-hormone sensitive), Gland of Moll cell in eyelid (specialized sweat gland), Sebaceous gland cell (lipid-rich sebum secretion), Bowman's gland cell in nose (washes olfactory epithelium), Brunner's gland cell in duodenum (enzymes and alkaline mucus), Seminal vesicle cell (secretes seminal fluid components, including fructose for swimming sperm), Prostate gland cell (secretes seminal fluid components), Bulbourethral gland cell (mucus secretion), Bartholin's gland cell (vaginal lubricant secretion), Gland of Littre cell (mucus secretion), Uterus endometrium cell (carbohydrate secretion), Isolated goblet cell of respiratory and digestive tracts (mucus secretion), Stomach lining mucous cell (mucus secretion), Gastric gland zymogenic cell (pepsinogen secretion), Gastric gland oxyntic cell (hydrochloric acid secretion), Pancreatic acinar cell (bicarbonate and digestive enzyme secretion), Paneth cell of small intestine (lysozyme secretion), Type II pneumocyte of lung (surfactant secretion), Clara cell of lung, Hormone secreting cells, Anterior pituitary cells, Somatotropes, Lactotropes, Thyrotropes, Gonadotropes, Corticotropes, Intermediate pituitary cell, Magnocellular neurosecretory cells, Gut and respiratory tract cells, Thyroid gland cells, thyroid epithelial cell, parafollicular cell, Parathyroid gland cells, Parathyroid chief cell, Oxyphil cell, Adrenal gland cells, chromaffin cells, Ley dig cell of testes, Theca interna cell of ovarian follicle, Corpus luteum cell of ruptured ovarian follicle, Granulosa lutein cells, Theca lutein cells, Juxtaglomerular cell (renin secretion), Macula densa cell of kidney, Metabolism and storage cells, Barrier function cells (Lung, Gut, Exocrine Glands and Urogenital Tract), Kidney, Type I pneumocyte (lining air space of lung), Pancreatic duct cell (centroacinar cell), Nonstriated duct cell (of sweat gland, salivary gland, mammary gland, etc.), Duct cell (of seminal vesicle, prostate gland, etc.), Epithelial cells lining closed internal body cavities, Ciliated cells with propulsive function, Extracellular matrix secretion cells, Contractile cells; Skeletal muscle cells, stem cell, Heart muscle cells, Blood and immune system cells, Erythrocyte (red blood cell), Megakaryocyte (platelet precursor), Monocyte, Connective tissue macrophage (various types), Epidermal Langerhans cell, Osteoclast (in bone), Dendritic cell (in lymphoid tissues), Microglial cell (in central nervous system), Neutrophil granulocyte, Eosinophil granulocyte, Basophil granulocyte, Mast cell, Helper T cell, Suppressor T cell, Cytotoxic T cell, Natural Killer T cell, B cell, Natural killer cell, Reticulocyte, Stem cells and committed progenitors for the blood and immune system (various types), Pluripotent stem cells, Totipotent stem cells, Induced pluripotent stem cells, adult stem cells, Sensory transducer cells, Autonomic neuron cells, Sense organ and peripheral neuron supporting cells, Central nervous system neurons and glial cells, Lens cells, Pigment cells, Melanocyte, Retinal pigmented epithelial cell, Germ cells, Oogonium/Oocyte, Spermatid, Spermatocyte, Spermatogonium cell (stem cell for spermatocyte), Spermatozoon, Nurse cells, Ovarian follicle cell, Sertoli cell (in testis), Thymus epithelial cell, Interstitial cells, and Interstitial kidney cells.

In some embodiments of any one of the methods disclosed herein, the condition can be a cancer or tumor. Non-limiting examples of such condition can include Acanthoma, Acinic cell carcinoma, Acoustic neuroma, Acral lentiginous melanoma, Acrospiroma, Acute eosinophilic leukemia, Acute lymphoblastic leukemia, Acute megakaryoblastic leukemia, Acute monocytic leukemia, Acute myeloblastic leukemia with maturation, Acute myeloid dendritic cell leukemia, Acute myeloid leukemia, Acute promyelocytic leukemia, Adamantinoma, Adenocarcinoma, Adenoid cystic carcinoma, Adenoma, Adenomatoid odontogenic tumor, Adrenocortical carcinoma, Adult T-cell leukemia, Aggressive NK-cell leukemia, AIDS-Related Cancers, AIDS-related lymphoma, Alveolar soft part sarcoma, Ameloblastic fibroma, Anal cancer, Anaplastic large cell lymphoma, Anaplastic thyroid cancer, Angioimmunoblastic T-cell lymphoma, Angiomyolipoma, Angiosarcoma, Appendix cancer, Astrocytoma, Atypical teratoid rhabdoid tumor, Basal cell carcinoma, Basal-like carcinoma, B-cell leukemia, B-cell lymphoma, Bellini duct carcinoma, Biliary tract cancer, Bladder cancer, Blastoma, Bone Cancer, Bone tumor, Brain Stem Glioma, Brain Tumor, Breast Cancer, Brenner tumor, Bronchial Tumor, Bronchioloalveolar carcinoma, Brown tumor, Burkitt's lymphoma, Cancer of Unknown Primary Site, Carcinoid Tumor, Carcinoma, Carcinoma in situ, Carcinoma of the penis, Carcinoma of Unknown Primary Site, Carcinosarcoma, Castleman's Disease, Central Nervous System Embryonal Tumor, Cerebellar Astrocytoma, Cerebral Astrocytoma, Cervical Cancer, Cholangiocarcinoma, Chondroma, Chondrosarcoma, Chordoma, Choriocarcinoma, Choroid plexus papilloma, Chronic Lymphocytic Leukemia, Chronic monocytic leukemia, Chronic myelogenous leukemia, Chronic Myeloproliferative Disorder, Chronic neutrophilic leukemia, Clear-cell tumor, Colon Cancer, Colorectal cancer, Craniopharyngioma, Cutaneous T-cell lymphoma, Degos disease, Dermatofibrosarcoma protuberans, Dermoid cyst, Desmoplastic small round cell tumor, Diffuse large B cell lymphoma, Dysembryoplastic neuroepithelial tumor, Embryonal carcinoma, Endodermal sinus tumor, Endometrial cancer, Endometrial Uterine Cancer, Endometrioid tumor, Enteropathy-associated T-cell lymphoma, Ependymoblastoma, Ependymoma, Epithelioid sarcoma, Erythroleukemia, Esophageal cancer, Esthesioneuroblastoma, Ewing Family of Tumor, Ewing Family Sarcoma, Ewing's sarcoma, Extracranial Germ Cell Tumor, Extragonadal Germ Cell Tumor, Extrahepatic Bile Duct Cancer, Extramammary Paget's disease, Fallopian tube cancer, Fetus in fetu, Fibroma, Fibrosarcoma, Follicular lymphoma, Follicular thyroid cancer, Gallbladder Cancer, Gallbladder cancer, Ganglioglioma, Ganglioneuroma, Gastric Cancer, Gastric lymphoma, Gastrointestinal cancer, Gastrointestinal Carcinoid Tumor, Gastrointestinal Stromal Tumor, Gastrointestinal stromal tumor, Germ cell tumor, Germinoma, Gestational choriocarcinoma, Gestational Trophoblastic Tumor, Giant cell tumor of bone, Glioblastoma multiforme, Glioma, Gliomatosis cerebri, Glomus tumor, Glucagonoma, Gonadoblastoma, Granulosa cell tumor, Hairy Cell Leukemia, Hairy cell leukemia, Head and Neck Cancer, Head and neck cancer, Heart cancer, Hemangioblastoma, Hemangiopericytoma, Hemangiosarcoma, Hematological malignancy, Hepatocellular carcinoma, Hepatosplenic T-cell lymphoma, Hereditary breast-ovarian cancer syndrome, Hodgkin Lymphoma, Hodgkin's lymphoma, Hypopharyngeal Cancer, Hypothalamic Glioma, Inflammatory breast cancer, Intraocular Melanoma, Islet cell carcinoma, Islet Cell Tumor, Juvenile myelomonocytic leukemia, Kaposi Sarcoma, Kaposi's sarcoma, Kidney Cancer, Klatskin tumor, Krukenberg tumor, Laryngeal Cancer, Laryngeal cancer, Lentigo maligna melanoma, Leukemia, Leukemia, Lip and Oral Cavity Cancer, Liposarcoma, Lung cancer, Luteoma, Lymphangioma, Lymphangiosarcoma, Lymphoepithelioma, Lymphoid leukemia, Lymphoma, Macroglobulinemia, Malignant Fibrous Histiocytoma, Malignant fibrous histiocytoma, Malignant Fibrous Histiocytoma of Bone, Malignant Glioma, Malignant Mesothelioma, Malignant peripheral nerve sheath tumor, Malignant rhabdoid tumor, Malignant triton tumor, MALT lymphoma, Mantle cell lymphoma, Mast cell leukemia, Mediastinal germ cell tumor, Mediastinal tumor, Medullary thyroid cancer, Medulloblastoma, Medulloblastoma, Medulloepithelioma, Melanoma, Melanoma, Meningioma, Merkel Cell Carcinoma, Mesothelioma, Mesothelioma, Metastatic Squamous Neck Cancer with Occult Primary, Metastatic urothelial carcinoma, Mixed Mullerian tumor, Monocytic leukemia, Mouth Cancer, Mucinous tumor, Multiple Endocrine Neoplasia Syndrome, Multiple Myeloma, Multiple myeloma, Mycosis Fungoides, Mycosis fungoides, Myelodysplastic Disease, Myelodysplastic Syndromes, Myeloid leukemia, Myeloid sarcoma, Myeloproliferative Disease, Myxoma, Nasal Cavity Cancer, Nasopharyngeal Cancer, Nasopharyngeal carcinoma, Neoplasm, Neurinoma, Neuroblastoma, Neuroblastoma, Neurofibroma, Neuroma, Nodular melanoma, Non-Hodgkin Lymphoma, Non-Hodgkin lymphoma, Nonmelanoma Skin Cancer, Non-Small Cell Lung Cancer, Ocular oncology, Oligoastrocytoma, Oligodendroglioma, Oncocytoma, Optic nerve sheath meningioma, Oral Cancer, Oral cancer, Oropharyngeal Cancer, Osteosarcoma, Osteosarcoma, Ovarian Cancer, Ovarian cancer, Ovarian Epithelial Cancer, Ovarian Germ Cell Tumor, Ovarian Low Malignant Potential Tumor, Paget's disease of the breast, Pancoast tumor, Pancreatic Cancer, Pancreatic cancer, Papillary thyroid cancer, Papillomatosis, Paraganglioma, Paranasal Sinus Cancer, Parathyroid Cancer, Penile Cancer, Perivascular epithelioid cell tumor, Pharyngeal Cancer, Pheochromocytoma, Pineal Parenchymal Tumor of Intermediate Differentiation, Pineoblastoma, Pituicytoma, Pituitary adenoma, Pituitary tumor, Plasma Cell Neoplasm, Pleuropulmonary blastoma, Polyembryoma, Precursor T-lymphoblastic lymphoma, Primary central nervous system lymphoma, Primary effusion lymphoma, Primary Hepatocellular Cancer, Primary Liver Cancer, Primary peritoneal cancer, Primitive neuroectodermal tumor, Prostate cancer, Pseudomyxoma peritonei, Rectal Cancer, Renal cell carcinoma, Respiratory Tract Carcinoma Involving the NUT Gene on Chromosome 15, Retinoblastoma, Rhabdomyoma, Rhabdomyosarcoma, Richter's transformation, Sacrococcygeal teratoma, Salivary Gland Cancer, Sarcoma, Schwannomatosis, Sebaceous gland carcinoma, Secondary neoplasm, Seminoma, Serous tumor, Sertoli-Leydig cell tumor, Sex cord-stromal tumor, Sezary Syndrome, Signet ring cell carcinoma, Skin Cancer, Small blue round cell tumor, Small cell carcinoma, Small Cell Lung Cancer, Small cell lymphoma, Small intestine cancer, Soft tissue sarcoma, Somatostatinoma, Soot wart, Spinal Cord Tumor, Spinal tumor, Splenic marginal zone lymphoma, Squamous cell carcinoma, Stomach cancer, Superficial spreading melanoma, Supratentorial Primitive Neuroectodermal Tumor, Surface epithelial-stromal tumor, Synovial sarcoma, T-cell acute lymphoblastic leukemia, T-cell large granular lymphocyte leukemia, T-cell leukemia, T-cell lymphoma, T-cell prolymphocytic leukemia, Teratoma, Terminal lymphatic cancer, Testicular cancer, Thecoma, Throat Cancer, Thymic Carcinoma, Thymoma, Thyroid cancer, Transitional Cell Cancer of Renal Pelvis and Ureter, Transitional cell carcinoma, Urachal cancer, Urethral cancer, Urogenital neoplasm, Uterine sarcoma, Uveal melanoma, Vaginal Cancer, Verner Morrison syndrome, Verrucous carcinoma, Visual Pathway Glioma, Vulvar Cancer, Waldenstrom's macroglobulinemia, Warthin's tumor, and Wilms' tumor.

In accordance with various embodiments, numerous types of neoplasms can be detected, including (but not limited to) acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), anal cancer, astrocytomas, basal cell carcinoma, bile duct cancer, bladder cancer, breast cancer, Burkitt's lymphoma, cervical cancer, chronic lymphocytic leukemia (CLL) chronic myelogenous leukemia (CML), chronic myeloproliferative neoplasms, colorectal cancer, diffuse large B-cell lymphoma, endometrial cancer, ependymoma, esophageal cancer, esthesioneuroblastoma, Ewing sarcoma, fallopian tube cancer, follicular lymphoma, gallbladder cancer, gastric cancer, gastrointestinal carcinoid tumor, hairy cell leukemia, hepatocellular cancer, Hodgkin lymphoma, hypopharyngeal cancer, Kaposi sarcoma, Kidney cancer, Langerhans cell histiocytosis, laryngeal cancer, leukemia, liver cancer, lung cancer, lymphoma, melanoma, Merkel cell cancer, mesothelioma, mouth cancer, neuroblastoma, non-Hodgkin lymphoma, non-small cell lung cancer, osteosarcoma, ovarian cancer, pancreatic cancer, pancreatic neuroendocrine tumors, pharyngeal cancer, pituitary tumor, prostate cancer, rectal cancer, renal cell cancer, retinoblastoma, skin cancer, small cell lung cancer, small intestine cancer, squamous neck cancer, T-cell lymphoma, testicular cancer, thymoma, thyroid cancer, uterine cancer, vaginal cancer, and vascular tumors.

Many embodiments are directed to diagnostic or companion diagnostic scans performed during cancer treatment of an individual. When performing diagnostic scans during treatment, the ability of agent to treat the cancer growth can be monitored. Most anti-cancer therapeutic agents result in death and necrosis of neoplastic cells, which should release higher amounts nucleic acids from these cells into the samples being tested. Accordingly, the level of circulating-tumor nucleic acids can be monitored over time, as the level should increase during early treatments and begin to decrease as the number of cancerous cells are decreased. In some embodiments, treatments are adjusted based on the treatment effect on cancer cells. For instance, if the treatment isn't cytotoxic to neoplastic cells, a dosage amount may be increased or an agent with higher cytotoxicity can be administered. In the alternative, if cytotoxicity of cancer cells is good but unwanted side effects are high, a dosage amount can be decreased or an agent with less side effects can be administered.

Various embodiments are also directed to diagnostic scans performed after treatment of an individual to detect residual disease and/or recurrence of cancer. If a diagnostic scan indicates residual and/or recurrence of cancer, further diagnostic tests and/or treatments may be performed as described herein. If the cancer and/or individual is susceptible to recurrence, diagnostic scans can be performed frequently to monitor any potential relapse.

F. COMPUTER SYSTEMS

In one aspect, the present disclosure provides a computer program product comprising a non-transitory computer-readable medium having computer-executable code encoded therein, the computer-executable code adapted to be executed to implement any one of the preceding methods.

The present disclosure provides computer systems that are programmed to implement methods of the disclosure. The system can, in some cases, include components such as a processor, an input module for inputting sequencing data or data derived therefrom, a computer-readable medium containing instructions that, when executed by the processor, perform an algorithm on the input regarding one or more cell-free nucleic acids molecules, and an output module providing one or more indicia associated with the condition.

FIG. 27 shows a computer system 2701 that is programmed or otherwise configured to implement partial or all of the methods disclosed herein. The computer system 2701 can regulate various aspects of the present disclosure, such as, for example, (i) identify, from sequencing data derived from a plurality of cell-free nucleic acid molecules, one or more cell-free nucleic acid molecules comprising the plurality of phased variants, (ii) analyze any of the identified cell-free nucleic acid molecules, (iii) determine a condition of the subject based at least in part on the identified cell-free nucleic acid molecules, (iv) monitor a progress of the condition of the subject based at least in part on the identified cell-free nucleic acid molecules, (v) identify the subject based at least in part on the identified cell-free nucleic acid molecules, or (vi) determine an appropriate treatment of the condition of the subject based at least in part on the identified cell-free nucleic acid molecules. The computer system 2701 can be an electronic device of a user or a computer system that is remotely located with respect to the electronic device. The electronic device can be a mobile electronic device.

The computer system 2701 includes a central processing unit (CPU, also “processor” and “computer processor” herein) 2705, which can be a single core or multi core processor, or a plurality of processors for parallel processing. The computer system 2701 also includes memory or memory location 2710 (e.g., random-access memory, read-only memory, flash memory), electronic storage unit 2715 (e.g., hard disk), communication interface 2720 (e.g., network adapter) for communicating with one or more other systems, and peripheral devices 2725, such as cache, other memory, data storage and/or electronic display adapters. The memory 2710, storage unit 2715, interface 2720 and peripheral devices 2725 are in communication with the CPU 2705 through a communication bus (solid lines), such as a motherboard. The storage unit 2715 can be a data storage unit (or data repository) for storing data. The computer system 2701 can be operatively coupled to a computer network (“network”) 2730 with the aid of the communication interface 2720. The network 2730 can be the Internet, an internet and/or extranet, or an intranet and/or extranet that is in communication with the Internet. The network 2730 in some cases is a telecommunication and/or data network. The network 2730 can include one or more computer servers, which can enable distributed computing, such as cloud computing. The network 2730, in some cases with the aid of the computer system 2701, can implement a peer-to-peer network, which may enable devices coupled to the computer system 2701 to behave as a client or a server.

The CPU 2705 can execute a sequence of machine-readable instructions, which can be embodied in a program or software. The instructions may be stored in a memory location, such as the memory 2710. The instructions can be directed to the CPU 2705, which can subsequently program or otherwise configure the CPU 2705 to implement methods of the present disclosure. Examples of operations performed by the CPU 2705 can include fetch, decode, execute, and writeback.

The CPU 2705 can be part of a circuit, such as an integrated circuit. One or more other components of the system 2701 can be included in the circuit. In some cases, the circuit is an application specific integrated circuit (ASIC).

The storage unit 2715 can store files, such as drivers, libraries and saved programs. The storage unit 2715 can store user data, e.g., user preferences and user programs. The computer system 2701 in some cases can include one or more additional data storage units that are external to the computer system 2701, such as located on a remote server that is in communication with the computer system 2701 through an intranet or the Internet.

The computer system 2701 can communicate with one or more remote computer systems through the network 2730. For instance, the computer system 2701 can communicate with a remote computer system of a user. Examples of remote computer systems include personal computers (e.g., portable PC), slate or tablet PC's (e.g., Apple® iPad, Samsung® Galaxy Tab), telephones, Smart phones (e.g., Apple® iPhone, Android-enabled device, Blackberry®), or personal digital assistants. The user can access the computer system 2701 via the network 2730.

Methods as described herein can be implemented by way of machine (e.g., computer processor) executable code stored on an electronic storage location of the computer system 2701, such as, for example, on the memory 2710 or electronic storage unit 2715. The machine executable or machine readable code can be provided in the form of software. During use, the code can be executed by the processor 2705. In some cases, the code can be retrieved from the storage unit 2715 and stored on the memory 2710 for ready access by the processor 2705. In some situations, the electronic storage unit 2715 can be precluded, and machine-executable instructions are stored on memory 2710.

The code can be pre-compiled and configured for use with a machine having a processer adapted to execute the code, or can be compiled during runtime. The code can be supplied in a programming language that can be selected to enable the code to execute in a pre-compiled or as-compiled fashion.

Aspects of the systems and methods provided herein, such as the computer system 2701, can be embodied in programming. Various aspects of the technology may be thought of as “products” or “articles of manufacture” typically in the form of machine (or processor) executable code and/or associated data that is carried on or embodied in a type of machine readable medium. Machine-executable code can be stored on an electronic storage unit, such as memory (e.g., read-only memory, random-access memory, flash memory) or a hard disk. “Storage” type media can include any or all of the tangible memory of the computers, processors or the like, or associated modules thereof, such as various semiconductor memories, tape drives, disk drives and the like, which may provide non-transitory storage at any time for the software programming. All or portions of the software may at times be communicated through the Internet or various other telecommunication networks. Such communications, for example, may enable loading of the software from one computer or processor into another, for example, from a management server or host computer into the computer platform of an application server. Thus, another type of media that may bear the software elements includes optical, electrical and electromagnetic waves, such as used across physical interfaces between local devices, through wired and optical landline networks and over various air-links. The physical elements that carry such waves, such as wired or wireless links, optical links or the like, also may be considered as media bearing the software. As used herein, unless restricted to non-transitory, tangible “storage” media, terms such as computer or machine “readable medium” refer to any medium that participates in providing instructions to a processor for execution.

Hence, a machine readable medium, such as computer-executable code, may take many forms, including but not limited to, a tangible storage medium, a carrier wave medium or physical transmission medium. Non-volatile storage media include, for example, optical or magnetic disks, such as any of the storage devices in any computer(s) or the like, such as may be used to implement the databases, etc. shown in the drawings. Volatile storage media include dynamic memory, such as main memory of such a computer platform. Tangible transmission media include coaxial cables; copper wire and fiber optics, including the wires that comprise a bus within a computer system. Carrier-wave transmission media may take the form of electric or electromagnetic signals, or acoustic or light waves such as those generated during radio frequency (RF) and infrared (IR) data communications. Common forms of computer-readable media therefore include for example: a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD or DVD-ROM, any other optical medium, punch cards paper tape, any other physical storage medium with patterns of holes, a RAM, a ROM, a PROM and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave transporting data or instructions, cables or links transporting such a carrier wave, or any other medium from which a computer may read programming code and/or data. Many of these forms of computer readable media may be involved in carrying one or more sequences of one or more instructions to a processor for execution.

The computer system 2701 can include or be in communication with an electronic display 2735 that comprises a user interface (UI) 2740 for providing, for example, (i) analysis of any of the identified cell-free nucleic acid molecules, (ii) a determined condition of the subject based at least in part on the identified cell-free nucleic acid molecules, (iii) a determined progress of the condition of the subject based at least in part on the identified cell-free nucleic acid molecules, (iv) the identified subject suspected of having the condition based at least in part on the identified cell-free nucleic acid molecules, or (v) a determined treatment of the condition of the subject based at least in part on the identified cell-free nucleic acid molecules. Examples of UI's include, without limitation, a graphical user interface (GUI) and web-based user interface.

Methods and systems of the present disclosure can be implemented by way of one or more algorithms. An algorithm can be implemented by way of software upon execution by the central processing unit 2705. The algorithm can, for example, (i) identify, from sequencing data derived from a plurality of cell-free nucleic acid molecules, one or more cell-free nucleic acid molecules comprising the plurality of phased variants, (ii) analyze any of the identified cell-free nucleic acid molecules, (iii) determine a condition of the subject based at least in part on the identified cell-free nucleic acid molecules, (iv) monitor a progress of the condition of the subject based at least in part on the identified cell-free nucleic acid molecules, (v) identify the subject based at least in part on the identified cell-free nucleic acid molecules, or (vi) determine an appropriate treatment of the condition of the subject based at least in part on the identified cell-free nucleic acid molecules.

EXAMPLES

The following illustrative examples are representative of embodiments of the stimulation, systems, and methods described herein and are not meant to be limiting in any way.

Example 1: Genomic Distribution of Phased Variants

Described is an alternative to duplex sequencing for reducing the background error rate that involves detection of ‘phased variants’ (PVs), where two or more mutations occur in cis (i.e., on the same strand of DNA FIG. 1A and FIG. 1E). Similar to duplex sequencing, this method provides lower error profiles due to the concordant detection of two separate non-reference events in individual molecules. However, unlike duplex sequencing, both events occur on the same sequencing read-pair, thereby increasing the efficiency of genome recovery. Phased mutations are present in diverse cancer types, but occur in stereotyped portions of the genome in B-cell malignancies, likely due to on-target and aberrant somatic hypermutation (aSHM) driven by activation-induced deaminase (AID). The most common regions of aSHM in B-cell non-Hodgkin lymphomas (NHL) are identified. Described herein is phased variant Enrichment and Detection Sequencing (PhasED-Seq), a novel method to detect ctDNA through phased variants to tumor fractions on the order of parts per million. Described herein is demonstration that PhasED-Seq can meaningfully improve detection of ctDNA in clinical samples both during therapy and prior to disease relapse.

To identify malignancies where PVs may potentially improve disease detection, the frequency of PVs across cancer types were assessed. Publicly available whole-genome sequencing data was analyzed to identify sets of variants occurring at a distance of <170 bp apart, which represents the typical length of a single cfDNA fragment consisting of a single core nucleosome and associated linker. The frequency of these ‘putative phased variants,” (Example 10) controlling for the total number of SNVs, from 2538 tumors across 24 cancer histologies including solid tumors and hematological malignancies (FIG. 1B, FIG. 5, and Table 1) was identified and summarized. PVs were most significantly enriched in two B-cell lymphomas (DLBCL and follicular lymphoma, FL, P<0.05 vs all other histologies), a group of diseases with hypermutation driven by AID/AICDA.

Example 2: Mutational Mechanisms Underlying PVs

To investigate the origin of PVs, the single base substitution (SBS) mutational signatures contributing to SNVs occurring within 170 bp of another SNV, and SNVs occurring in isolation (e.g., not having another SNV within 170 bp) (Example 10) were compared. As expected, PVs were highly enriched in several mutational signatures associated with clustered mutations. Signatures of clustered mutations associated with activity of AID (SBS84 and SBS85) were significantly enriched in PVs from B-cell lymphomas and CLL, while signatures associated with activity of APOBEC3B (SBS2 and SBS13)—another mechanism of kataegis hypermutation—were significantly enriched in PVs from multiple solid cancer histologies, including ovarian, pancreatic, prostate, and breast adenocarcinomas (FIG. 1C and FIGS. 6A-6WW). Signatures of clustered mutations associated with activity of AID (SBS84 and SBS85) were enriched in PVs found in lymphomas and CLL, while signatures associated with activity of APOBEC3B (SBS2 and SBS13) were significantly enriched in breast cancer (FIG. 1C and FIGS. 6A-6WW). PVs from multiple tumor types were also associated with SBS4, a signature associated with tobacco use. Furthermore, among PVs across multiple tumor histologies, it was observed that novel enrichments in several other signatures without clearly associated mechanisms (e.g., SBS24, SBS37, SBS38, and SBS39). In contrast, aging-associated mutational signatures such as SBS1 and SBS5 were significantly enriched in isolated SNVs.

Example 3: PVs Occur in Stereotyped Genomic Regions in Lymphoid Cancers

To assess the genomic distribution of putative PVs, these events were first binned into 1-kb regions to visualize their frequency across tumor types. It was observed that a strikingly stereotyped distribution of PVs in individual lymphoid neoplasms (e.g., DLBCL, FL, Burkitt lymphoma (BL), and chronic lymphocytic leukemia (CLL); FIG. 1D and FIG. 7). In contrast, non-lymphoid cancers generally did not exhibit substantial recurrence of clustered PVs in stereotyped regions. This lack of stereotype in the position of PVs was true even when considering melanomas and lung cancers, diseases with frequent PVs.

Notably, the majority of hypermutated regions were shared between all three lymphoma subtypes, with the highest densities seen in known targets of aSHM including BCL2, BCL6, and MYC, as well as the immunoglobulin (Ig) loci encoding the heavy and light chains IGH, IGK, and IGL (Table 2). Strikingly, certain regions within Ig loci were densely mutated in nearly all lymphoma patients as well as in patients with CLL (FIG. 1D). Among lymphoma subtypes, DLBCL tumors harbored the most 1-kb regions recurrently containing PVs (FIG. 8A), consistent with the highest number of recurrently mutated genes being observed in this tumor type. In total, 1639 unique 1-kb regions recurrently containing PVs in B-lymphoid malignancies were identified. Among these lymphoma-associated 1-kb regions, nearly one-third fell into genomic areas previously associated with physiological or aberrant SHM in B-cells. Specifically, 19% (315/1639) were located in Ig regions, while 13% (218/1639) were in portions of 68 previously identified targets of aSHM (Table 2). While most PVs fell into noncoding regions of the genome, additional recurrently affected loci not previously described as targets of aSHM, including XBP1, LPP, and AICDA, among others, were also identified.

The distribution of PVs within each lymphoid malignancy correlated with oncogenic features associated with the distinct pathophysiology of the corresponding disease. For example, cases of FL—where more than 90% of tumors harbor oncogenic BCL2 fusions—were significantly more likely to contain phased variants in BCL2 than other lymphoid malignancies (FIG. 1D and FIG. 8B). Similarly, significantly more Burkitt lymphomas (BL) harbored PVs in MYC and ID3, two driver genes strongly associated with the BL pathogenesis, than other lymphoid malignancies (FIG. 1D and FIGS. 8C-8D). DLBCL molecular subtypes associated with distinct cell-of-origin also demonstrated distinct distributions of PVs (Table 2). Specifically, while germinal center B-cell like (GCB) and activated B-cell like (ABC) DLBCLs harbored similar frequencies of PVs overall (median 798 vs 516, P=0.37), significant enrichment for PVs in the telomeric IGH class-switch regions (Sγ1, and Sγ3) in ABC-DLBCLs, consistent with previous reports 41 (FIG. 8E), was found. Conversely, GCB-DLBCLs harbored more phased haplotypes in centromeric IGH class switch regions (Sa2 and SF) and in BCL2.

Example 4: Design and Validation of PhasED-Seq Panel for Lymphoma

To validate these PV-rich regions and assess their utility for disease detection from ctDNA, a sequencing panel targeting putative PVs identified within WGS from three independent cohorts of patients with DLBCL, as well as in patients with CLL (FIG. 2A and Example 10) was designed. This final Phased variant Enrichment and Detection Sequencing (PhasED-Seq) panel targeted ˜115 kb of genomic space focused on PVs, along with an additional ˜200 kb targeting genes that are recurrently mutated in B-NHLs (Table 3). While the 115 kb of space dedicated to PV-capture targets only 0.0035% of the human genome, it captures 26% of phased variants observed in mature B-cell neoplasms profiled by WGS (FIG. 9A), thus yielding a ˜7500-fold PV enrichment by PhasED-Seq over WGS.

Expected SNV and PV recovery was compared to previously reported CAPP-Seq selector designed to maximize SNVs per patient in B-cell lymphomas (FIG. 9A-C). When considering diverse B-NHLs with available WGS data, PhasED-Seq recovered 3.0× more SNVs (81 vs. 27) and 2.9× more PVs (50 vs. 17) in the median case than previous CAPP-Seq panel. This observation highlights the importance of including non-coding portions of the genome for maximal mutation recovery. To validate these yield improvements experimentally, 16 pretreatment tumor or plasma DNA samples from patients with DLBCL (Table 4) were profiled. Both CAPP-Seq and PhasED-Seq panels were applied to each specimen in parallel and then sequenced them to high unique molecular depths (FIG. 2B). Compared to the expected enrichment established from WGS, similar improvements in yield of SNVs by PhasED-Seq compared to CAPP-Seq (2.7×; median 304.5 vs. 114) were observed. However, when enumerating PVs observed in individual sequenced DNA fragments, an improvement in favor of PhasED-Seq beyond the expected improvement from WGS (7.7×; median 5554 vs 719.5 PVs/case) was found. This improvement is potentially due to either 1) the higher sequencing depth in targeted sequencing which leads to improvement in rare allele detection, or 2) enumeration of higher order PVs in targeted sequencing with PhasED-Seq or CAPP-Seq, which was not accounted for in the WGS design (i.e., >2 SNVs per fragment; FIGS. 9D-9F). Furthermore, across 1-kb windows in the panel, robust correlation between the frequency of putative PVs in WGS data and PVs from targeted sequencing by PhasED-Seq across 101 DLBCL samples (FIG. 2C) was observed, further validating the frequency and distribution of PVs in B-cell malignancies.

Example 5: Differences in Phased Variants between Lymphoma Subtypes

Having validated the PhasED-Seq panel, the biological differences in PVs between various B-cell malignancies, including DLBCL (n=101), primary mediastinal B-cell lymphoma (PMBCL) (n=16), and classical Hodgkin lymphoma (cHL) (n=23) were examined. The number of SNVs identified per case was not significantly different between lymphoma subtypes (FIGS. 9G-9K). However, when considering mutational haplotypes, cHL had a significantly lower burden of PVs than either DLBCL or PMBCL. In addition to this quantitative disparity, differences in the genomic locations of PVs between different B-cell lymphoma subtypes were also observed (FIGS. 2D-2E and FIGS. 10-12). This included previously established biological associations in DLBCL subtypes, including more frequent PVs in BCL2 in GCB-type than ABC-type DLBCL, with the opposite association seen for PIM1. More frequent PVs in CIITA in PMBCL compared with DLBCL, a gene in which breakpoints are common in PMBCL, was also observed. Relative enrichments were also observed throughout the IGH locus, with more frequent PVs seen in Sγ3 and Sγ1 regions in ABC-DLBCL (compared with GCB-DLBCL) and interestingly, more frequent PVs in the SF locus in cHL compared with DLBCL (FIG. 2E and FIG. 13). In total, after correcting for testing multiple hypotheses, significant relative enrichments in 25 genetic loci between ABC- and GCB-DLBCL, 24 between DLBCL and PMBCL, and 40 between DLBCL and cHL were found (FIG. 10-12).

Example 6: Recovery of Phased Variants Through PhasED-Seq

To facilitate detection of ctDNA using PVs, efficient recovery of DNA molecules is desired. Hybrid-capture sequencing is potentially sensitive to DNA mismatches, with increasing mutations decreasing hybridization efficiency. Indeed, AID hotspots can contain a 5-10% local mutation rate, with even higher rates in certain regions of IGH. To empirically assess the effect of mutation rate on capture efficiency, DNA hybridization of 150-mers with varying mutation rates in silico was simulated. As expected, predicted binding energy decreased with an increasing number of mutations (FIG. 14A). Notably, randomly distributed mutations had a greater effect on binding energy than clustered mutations. To assess the effect of this decreased binding affinity, 150-mer DNA oligonucleotides with 0 to 10% difference from the reference sequence in MYC and BCL6, two loci that are targets of aSHM were synthesized. To assess the worst-case scenario for hybridization, non-reference bases were randomly distributed rather than in clusters (Example 10). An equimolar mixture of these oligonucleotides were then captured with PhasED-Seq panel. Concordant with the in silico predictions, increased mutational rates resulted in decreased capture efficiency (FIG. 3A). Molecules with a 5% mutation rate were captured with 85% efficiency relative to fully-wildtype counterparts, while molecules with 10% mutation were captured with only 27% relative efficiency. To assess the prevalence of this degree of mutation in human tumors, the distribution of variants in panel in 140 patients with B-cell lymphomas, calculating the fraction of mutated bases in overlapping 151-bp windows (Example 10) was examined. Only 7% (10/140) of patients had any 151-bp window exceeding 10% mutation rate (FIG. 14B-C). Indeed, in the experiment with synthetic oligonucleotides, a 5% mutation rate was recovered nearly as efficiently as the wild-type sequence. In over half of all cases considered, no locus had >5% mutation rate at any window, while in all cases >90% of windows had <5% mutations. Overall, these observations indicate that the majority of phased mutations are recoverable by efficient hybrid capture, despite hybridization biases.

Example 7: Error Profile and Limit of Detection for Phased Variant Sequencing

Previous methods for highly error-suppressed sequencing applied to cfDNA have utilized either a combination of molecular and in silico methods for error suppression (e.g., integrated digital error suppression, iDES) or duplex molecular recovery. However, each of these has limitations, either for detecting events at ultra-low tumor fractions or for efficient recovery of original DNA molecules, which are important considerations for cfDNA analysis where input DNA is limited. The error profile and recovery of input genomes from plasma cfDNA samples form 12 heathy adults by PhasED-Seq were compared with both iDES-CAPP-Seq and duplex sequencing. While iDES-enhanced CAPP-Seq had a lower background error profile than barcode-deduplication alone, duplex sequencing offered the lowest background error rate for non-reference single nucleotide substitutions (FIG. 3B, 3.3×10⁻⁵ vs. 1.2×10⁻⁵, P<0.0001). However, the rate of phased errors—e.g., multiple non-reference bases occurring on the same sequencing fragment—was significantly lower than the rate of single errors in either iDES-enhanced CAPP-Seq or duplex sequencing data. This was true for the incidence of both two (2× or ‘doublet’ PVs) or three (3× or ‘triplet’ PVs) substitutions on the same DNA molecule (FIG. 3B, 8.0×10⁻⁷ and 3.4×10⁻⁸ respectively, P<0.0001). Phased errors containing C to T or T to C transition substitutions were more common than other types of PVs (FIG. 14D). Notably, the rate doublet PVs errors in cfDNA was also correlated with distance between positions, with the highest PV error-rate consisting of neighboring SNVs (e.g., DNVs) and decreasing error rate with increasing distance between constituent variants (FIG. 14E). When considering unique molecular depth, duplex sequencing recovered only 19% of all unique cfDNA fragments (FIG. 3C). In contrast, the unique depth of PVs within a genomic distance of <20 bp was nearly identical to the depth of individual positions (e.g., molecules covering individual SNVs). Similarly, PVs up to 80 bps in size had depth greater than 50% of the median unique molecular depth for a sample. Importantly, almost half (48%) of all PVs were within 80 bp of each other, demonstrating their utility for disease detection from input-limited cfDNA samples (FIG. 3D).

To quantitatively compare the performance of PhasED-Seq to alternative methods for ctDNA detection, limiting dilutions of ctDNA from 3 lymphoma patients into healthy control cfDNA were generated, resulting in expected tumor fractions between 0.1% and 0.00005% (1 part in 2,000,000; (Example 10). The expected tumor fraction was compared to the estimated tumor content in each of these dilutions using PhasED-Seq to track tumor-derived PVs, as well as to error-suppressed detection methods depending on individual SNVs (e.g. iDES-enhanced CAPP-Seq or duplex sequencing; FIG. 3E). All methods performed equally well down to tumor fractions of 0.01% (1 part in 10,000). However, below this level (e.g., 0.001%, 0.0002%, 0.0001%, and 0.00005%), both PhasED-Seq and duplex sequencing significantly outperformed iDES-enhanced CAPP-Seq (P<0.0001 for duplex, ‘2×’ PhasED-Seq, and ‘3×’ PhasED-Seq; FIG. 3E). In addition, when compared to duplex-sequencing, tracking either 2 or 3 variants in-phase (e.g., 2× and 3× PhasED-Seq) more accurately identified expected tumor content, with superior linearity down to 1 part in 2,000,000 (P=0.005 for duplex vs 2× PhasED-Seq, P=0.002 for 3× PhasED-Seq) (Example 10). Specificity of PVs by looking for evidence of tumor-derived SNVs or PVs in cfDNA samples from 12 unrelated healthy control subjects and the healthy control used for the limiting dilution was assessed. Here again, both 2×- or 3×-PhasED-Seq showed significantly lower background signal levels than did CAPP-Seq and duplex sequencing (FIG. 3F). This lower error rate and background from PVs improves the detection limit for ctDNA disease detection. In some instances, the method of sequencing-based cfDNA assays described herein (e.g. the method depicted in FIG. 3E and FIG. 3F) does not require molecular barcodes to achieve exquisite error-suppression and low limits of detection. Signal assessed by the method without barcode used limiting dilution series from 1:1,000 to 5:10,000,000, and ‘blank’ controls (FIGS. 23A-23B).

This dilution series was used to assess the limit of detection for a given number of PVs (FIGS. 3G-3I). When considering a set of PVs within 150 base pair (bp) regions, the probability of detection for a given sample may be accurately modelled by binomial sampling, considering both the depth of sequencing and the number of 150 bp regions with PVs (Example 10).

Example 8: Improvements in Detection of Low-Burden Minimal Residual Disease

To test the utility of the lower LOD afforded by PhasED-Seq for detection of ultra-low burden MRD from cfDNA, Serial cell-free DNA samples were sequenced from a patient undergoing front-line therapy for DLBCL (FIG. 4A). Using CAPP-Seq, this patient had undetectable ctDNA after only one cycle of therapy, with multiple subsequent samples during and after treatment also remaining undetectable. This patient had subsequent re-emergence of detectable ctDNA >250 days after the start of therapy, with eventual clinical and radiographic disease progression 5 months later, indicating falsely negative serial measurements with CAPP-Seq. Strikingly, all four of the plasma samples that were undetectable by CAPP-Seq during and after treatment had detectable ctDNA levels by PhasED-Seq, with mean allelic fractions as low as 6 parts in 1,000,000. This increased sensitivity improved the lead-time of disease detection by ctDNA compared to radiographic surveillance from 5 with CAPP-Seq to 10 months with PhasED-Seq.

Next, the performance of PhasED-Seq ctDNA detection in a cohort of 107 patients with large B-cell lymphomas and blood samples available after 1 or 2 cycles of standard immuno-chemotherapy was next assessed. Importantly, ctDNA levels measured by PhasED-Seq were highly correlated with those measured by CAPP-Seq. In total, 443 tumor, germ-line, and cell-free DNA samples, including cfDNA prior to therapy (n=107) and after 1 or 2 cycles of treatment (n=82 and 89), were assessed. Prior to therapy, patient-specific PVs were detectable by PhaseED-Seq in 98% of samples, with 95% specificity in cfDNA from healthy controls (FIGS. 15 and 16A). Importantly, ctDNA levels measured by PhasED-Seq were highly correlated with those measured by CAPP-Seq, considering both pretreatment and post treatment samples (Spearman rho=0.91, FIG. 16B). Next, quantitative levels of ctDNA measured by PhasED-Seq and CAPP-Seq from cfDNA samples after initiation of therapy were compared. In total, 72% (78/108) of samples with detectable ctDNA by PhasED-Seq after 1 or 2 cycles were also detected by conventional CAPP-Seq (FIG. 4B). Among 108 samples detected by PhasED-Seq, disease burden was significantly lower for those with undetectable (28%) vs. detectable (72%) ctDNA levels using conventional CAPP-Seq, with a >10× difference in median ctDNA levels (tumor fraction 2.2×10⁴ vs 1.2×10⁵, P<0.001, FIG. 4B). In total, an additional 16% (13/82) of samples after 1 cycle of therapy and 19% (17/89) of samples after 2 cycles of therapy had detectable ctDNA when comparing PhasED-Seq with CAPP-Seq (FIG. 4C).

ctDNA molecular response criteria was previously described for DLBCL patients using CAPP-Seq, including Major Molecular Response (MMR), defined as a 2.5-log reduction in ctDNA after 2 cycles of therapy 22. While MMR at this time-point is prognostic for outcomes, many patients have undetectable ctDNA by CAPP-Seq at this landmark (FIGS. 4D-4E). Importantly, even in patients with undetectable ctDNA by CAPP-Seq, detection of occult ultra-low ctDNA levels by PhasED-Seq was prognostic for outcomes including event-free and overall survival (FIG. 4D). Indeed, in the 89 patients with a sample available from this time-point, 58% (52/89) had undetectable ctDNA by CAPP-Seq at their interim MMR assessment, after completing 2 of 6 planned cycles of therapy. Using PhasED-Seq, 33% (17/52) of samples not detected by CAPP-Seq had evidence of ctDNA as evidenced by PVs, with levels as low as ˜3:1,000,000 (FIGS. 17A-17D)—these 17 cases additionally detected by PhasED-Seq represent potential false negative tests by CAPP-Seq. Similar results were seen at the Early Molecular Response (EMR) time-point (i.e., after 1 cycle of therapy, FIGS. 18A-18H).

While detection of ctDNA in DLBCL after 1 or 2 cycles of therapy is a known adverse prognostic marker outcomes for patients with undetectable ctDNA at these time-points are heterogeneous (FIG. 4E and FIG. 18F). Importantly, even in patients with undetectable ctDNA by CAPP-Seq after 1 or 2 cycles of therapy, detection of ultra-low ctDNA levels by PhasED-Seq was strongly prognostic for outcomes including event-free survival (FIG. 4F, FIG. 17C-D, FIG. 18C-D, and FIG. 18G). When combining detection by PhasED-Seq with previously described MMR threshold, patients could be stratified into three groups—patients not achieving MMR, patients achieving MMR but with persistent ctDNA, and patients with undetectable ctDNA (FIG. 4G). Interestingly, while patients not achieving MMR were at especially high risk for early events despite additional planned first line therapy (e.g., within the first year of treatment), patients with persistent low levels of ctDNA appeared to have a higher risk of later relapse or progression events. In contrast, patients with undetectable ctDNA after 2 cycles of therapy by PhasED-Seq had overwhelmingly favorable outcomes, with 95% being event-free and 97% overall survival at 5 years. Similar results were seen at the EMR time-point after 1 cycle of therapy (FIG. 1811).

Example 9: Exemplary Embodiments of Mutation Detection Using Next Generation Sequencing (NGS) when the Mutation is not a Single Base Substation, but Rather a Pair of Mutations

In many instances, a limitation of cfDNA tracking may be the limitation on the number of molecules available for detection. Additionally, there are multiple potential limitations on tracking tumor molecules from cell-free DNA, including not only the sequencing error profile, but also the number of molecules available for detection. The number of molecules available for detection—here termed the number of “evaluable fragments”—can be thought of as both a function of the number of recovered unique genomes (e.g., unique depth of sequencing) and the number of somatic mutations being tracked. More specifically, the number of evaluable fragments is equal to: EF=d*n.

Where d=the unique molecular depth considered and n=the number of somatic alterations tracked. For the typical cell-free DNA samples, less than 10,000 unique genomes are often recovered (d), requiring any sensitive method to track multiple alterations (n). Furthermore, as stated above, the major limitation for duplex sequencing is difficulty recovering sufficient unique molecular depth (d); thus, from a typical plasma sample with duplex depth of ˜1,500×, even if following 100 somatic alterations, there are only 150,000 evaluable fragments. Thus, in this scenario, sensitivity is limited by the number of molecules available for detection. In contrast, other methods such as iDES-enhanced CAPP-Seq consider all molecules recovered. Here, as many as 5,000-6,000× unique haploid genomes can be recovered. Therefore, the number of evaluable fragments, tracking the same 100 somatic alterations, may be 500,000-600,000×. However, the error profile of single-stranded sequencing, even with error suppression, allows detection to levels of at best 1 part in 50,000. Therefore, methods aiming to improve on the detection limits for ctDNA must overcome both the error-profile of sequencing and the recovery of sufficient evaluable fragments to utilize said lower error-profiles.

To remedy this apparent deficiency, the method of PhasED-Seq, as described in the instant disclosure, allows for lymphoid malignancies and was applicable to other cancer histologies, (e.g., using a “personalized” approach). For a personalized approach, customized hybrid-capture oligonucleotides (or primers for PCR amplicons) were used to capture personalized somatic mutations identified from whole exome or genome sequencing. The PCAWG dataset assessed for SNVs occurring within 170 bp of each other in genomic space was re-analyzed. It was found that in 14 of 24 cancer histologies considered, the median case contained >100 possible phased variants, including in several solid tumors such as Melanoma (median 2072), lung squamous cell carcinoma (1268), lung adenocarcinoma (644.5), and colorectal adenocarcinoma (216.5).

Next, the expected limit of detection in all cases in the PCAWG dataset using either duplex sequencing or PhasED-Seq was assessed. Again, the limit of detection was defined by the expected number of evaluable fragments, and thus depends on both the number of variants tracked and the expected depth of sequencing. Utilizing the data from optimized hybrid capture conditions, a model to predict the expected deduplicated (single-stranded) and duplex (double-stranded) molecular depth with a given DNA input and number of sequencing reads was constructed. Using this, along with the number of SNVs or possible PVs from the PCAWG dataset, for each case, which method would lead to a greater number of evaluable fragments, and therefore a superior limit of detection was assessed. The results of this exercise, assuming 64 nanograms (ng) of total cfDNA input and a total of 20 million sequencing reads are shown in FIG. 19. Notably, in the majority of cancer types (18/24 histologies), PhasED-Seq had a lower limit of detection than duplex sequencing. This importantly included not only B-cell lymphomas, but common solid tumors, including lung squamous cell carcinoma and adenocarcinoma, colorectal adenocarcinoma, esophageal and gastric adenocarcinoma, and breast adenocarcinoma, among others. Indeed, taking lung cancers as a specific example, an almost 10-fold lower limit of detection was found for the median squamous cell and adenocarcinoma lung cancer case using PhasED-Seq compared to duplex sequencing (FIG. 20). Both PhasED-Seq and duplex sequencing using a personalized approach had a lower limit of detection than non-personalized approaches (e.g., iDES-enhanced CAPP-Seq).

To further confirm the applicability of phased variants and PhasED-Seq in diverse solid tumors, WGS (20-30×) was performed on paired tumor and normal DNA to identify PVs from five solid tumor patients predicted to have low ctDNA burden prior to treatment (lung cancer (n=5)). After identifying putative PVs in each case, a set of personalized hybrid capture oligonucleotides was subsequently designed to performed targeted resequencing of tumor and normal DNA to validate candidate PVs. Finally, plasma samples were sequenced from all 5 patients to high unique molecular depth using personalized PhasED-Seq to detect ctDNA. Considering these five lung cancer cases the PhasED-Seq approach achieved a ˜10-fold improvement in analytical sensitivity, achieving a median LOD of 0.00018% compared to 0.0019% using customized CAPP-Seq (FIG. 21).

To demonstrate the clinical significance of this improved limit of detection for ctDNA from PhasED-Seq in solid tumors, serial plasma samples from a patient with stage 3 adenocarcinoma of the lung treated with chemoradiotherapy with curative intent (LUP814) were analyzed using both CAPP-Seq and PhasED-Seq. As outlined above, both CAPP-Seq and PhasED-Seq quantified a similar level of ctDNA prior to therapy (˜1% tumor fraction). However, 3 subsequent samples after beginning therapy had undetectable ctDNA by standard CAPP-Seq, including samples during and after chemoradiation and during adjuvant immunotherapy with Durvalumab. Despite the lack of detectable disease by CAPP-Seq, the patient had biopsy-confirmed recurrent disease after an initial radiographic response. However, when analyzing these same samples with PhasED-Seq, molecular residual disease in 3/3 (100%) of samples was detected, with mean tumor fraction as low as 0.00016% (1.6 parts per million). Furthermore, the trend in ctDNA quantitation mirrored the patient's disease course, with an initial response to chemoradiotherapy but disease progression during immunotherapy. Importantly, this patient's disease remained detectable at all timepoints, with detectable disease at the completion of chemoradiotherapy 8 months prior to the patient's biopsy-confirmed disease progression (FIG. 22).

Example 10: Methods of Phased Variant Enrichment for Enhanced Disease Detection from Cell-Free DNA

10(a): Whole-Genome Sequencing Analysis

10(a)(1): Whole-Genome Sequencing Data Putative Phased Variant Identification

Whole-genome sequencing data were obtained from two sources. Data for lymphoid malignancies (diffuse large B-cell lymphoma, DLBCL; follicular lymphoma, FL; Burkitt lymphoma, BL; chronic lymphocytic leukemia, CLL) were downloaded from the International Cancer Genome Consortium (ICGC) data portal on May 7, 2018. Data from all other histologies were part of the pan-Cancer analysis of whole genomes (PCAWG) and downloaded on Nov. 11, 2019. Only cancer histologies with at least 35 available cases were considered; details of the dataset considered are provided in Table 1. All samples had somatic mutations called from WGS using matched tumor and normal genotyping. Queries were limited to base substitutions obtained from WGS (single, double, triple, and oligo nucleotide variants; SNVs, DNVs, TNVs, and ONVs). Having thus identified the cases and variants of interest, the number of putative phased variants (PVs) in each tumor was next identified. To function as a PV on a single cell-free DNA (cfDNA) molecule, two variants, such as two single nucleotide variants (SNVs) generally must occur within a genomic distance less than the length of a typical cfDNA molecule (˜170 bp). Therefore, putative PVs were defined as two variants occurring on the same chromosome within a genomic distance of <170 bp. DNVs, TNVs, and ONVs were considered as the set of their respective component SNVs. The number of SNVs as well as the identity of putative PVs for each case are detailed in Table 1. The raw number of SNVs and putative PVs, as well as the number of putative PVs controlling for the number of SNVs, is shown in FIG. 5A-C.

10(a)(2): Mutational Signatures of Phased Variants from WGS

To assess the mutational processes associated with phased and non-phased mutations across different cancer types/subtypes, the mutational signatures of single base substitutions (SBS) were enumerated for each WGS case described above using the R package ‘deconstructSigs’. The list of SNVs for each patient was first divided into two groups: 1) SNVs contained within a possible PV; that is, with an adjacent or ‘nearest neighbor’ SNV <170 bp away, and 2) isolated SNVs (i.e., non-phased), defined as those occurring ≥170 bp in distance from the closest adjacent SNV. ‘DeconstructSigs’ was then applied using the 49 SBS signatures described in COSMIC (excluding signatures linked to possible sequencing artefacts) to assess the contribution of each SBS signature to both candidate phased SNVs and un-phased SNVs for each patient. To compare the contribution of each SBS signature to phased and isolated SNVs, a Wilcoxon signed rank test was performed to compare the relative contribution of each SBS signature between these two categories for each cancer type (FIGS. 6A-6WW). To account for multiple hypotheses, Bonferroni's correction was applied, by considering any SBS signature that differed in contribution to phased vs. un-phased SNVs to be significant if the Wilcoxon signed rank test resulted in a P-value of <0.05/49 or 0.001. The distributions of these comparisons, along with significance testing, are depicted in FIGS. 6A-6WW. A summary of this analysis is also shown in FIG. 1C using a heat-map display, where the ‘heat’ represents the difference between the mean contribution of the SBS signature to phased variants to the mean contribution to isolated/un-phased variants.

10(a)(3): Genomic Distribution of Phased Variants from WGS

The recurrence frequency for PVs was assessed in each cancer type across the genome within each tumor type. Specifically, the human genome (build GRCh37/hg19) was first divided into 1-kb bins (3,095,689 total bins); then, for each sample, the number of PVs (as defined above) contained in each 1-kb bin was counted. For this analysis, any PV with at least one of its constituent SNVs falling within the 1-kb bin of interest was included. The fraction of patients whose tumors harbored a PV for each cancer type within each genomic bin was then calculated. To identify 1-kb bins recurrently harboring PVs across patients, the fraction of patients containing PVs in each 1-kb bin vs. genomic coordinates (FIG. 1D and FIG. 7) was plotted; for this analysis, only bins where at least 2% of samples contained a PV in at least one cancer subtype were plotted.

10(a)(4): Identification of Recurrent 1-Kb Bins with Phased Variants

To identify 1-kb bins that recurrently contain PVs in B-lymphoid malignancies, WGS data was utilized from the following diseases: DLBCL, FL, BL, and CLL. Any 1-kb bin where >1 sample from these tumor types was considered to recurrently contain PVs from B-lymphoid malignancies. The genomic coordinates of 1-kb bins containing recurrent PVs in lymphoid malignancies are enumerated in Table 2, and are plotted in FIG. 8A.

10(b): Design of PhasED-Seq Panel for B-Lymphoid Malignancies

10(b)(1): Identification of Recurrent PVs from WGS Data at Higher Resolution

Given the prevalence of recurrent putative PVs from WGS data in B-cell malignancies, a targeted sequencing approach was designed for their hybridization-mediated capture—Phased variant Enrichment Sequencing (PhasED-Seq)—to enrich these specific PV events from tumor or cell-free DNA. In addition to the ICGC data described above, WGS data was also utilized from other sources in this design, including both B-cell NHLs as well as CLL.

Previous experience with targeted sequencing from cfDNA in NHLs was also examined. Pairs of SNVs occurring at a distance of <170 bp apart in each B-cell tumor sample were identified. Then, genomic “windows” that contained PVs was identified as follows: for each chromosome, the PVs were sorted by genomic coordinates relative to reference genome. Then, the lowest (i.e., left-most) position was identified for any PV in any patient; this defined the left-hand (5′) coordinate seeding a desired window of interest, to be captured from the genome. This window was then extended by growing its 3′ end to capture successive PVs until a gap of ≥340 bp was reached, with 340-bp chosen as capturing two successive chromatosomal sized fragments of ˜170-bp. When such a gap was reached, a new window was started, and this iterative process of adding neighboring PVs was repeated again until the next gap of ≥340 bp was reached. This resulted in a BED file of genomic windows containing all possible PVs from all samples considered. Finally, each window was additionally padded by 50 bp on each side, to enable efficient capture from flanking sequences in rare scenarios when repetitive or poorly mapping intervening sequences might preclude their direct targeting for enrichment.

Having identified the regions of interest containing putative PVs, each window was then into 170 bp segments (e.g., the approximate size of a chromatosomal cfDNA molecule). Then, the number of cases containing a PV was enumerated in each case. For each 170 bp region, the region in final sequencing panel design was included if one or more of the following criteria was met: 1) at least one patient contained a PV in the 170 bp region in 3 of 5 independent data-sets, 2) at least one patient contained a PV in the region in 2 of 5 independent data-sets if one dataset was prior CAPP-Seq experience, or 3) at least one patient contained a PV in the region in 2 of 5 independent data-sets, with a total of at least 3 patients containing a PV in the region. This resulted in 691 ‘tiles’, with each tile representing a 170 bp genomic region. These tiles, along with an additional ˜200 kb of genomic space targeting driver genes recurrently mutated in B-NHL, were combined into a unified targeted sequencing panel as previously described for both tumor and cfDNA genotyping using NimbleDesign (Roche NimbleGen). The final coordinates of this panel are provided in Table 3.

10(b)(2): Comparison of PhasED-Seq and CAPP-Seq Performance in PV Yield

To evaluate the performance of PhasED-Seq for capturing both SNVs and PVs compared to previously reported CAPP-Seq selector for B-cell lymphomas, the predicted number of both SNVs and PVs that may be recovered with each panel by limiting WGS in silico to the capture targets of each approach (FIG. 9A-C) was quantified. The predicted number of variants was then compared using the Wilcoxon signed rank test. Both CAPP-Seq and PhasED-Seq were also performed on 16 samples from patients with DLBCL. In these samples, tumor or plasma DNA, along with matched germ-line DNA, was sequenced. The resulting number of variants were again compared by the Wilcoxon signed rank text (FIG. 2B, and FIGS. 9D-9E). The sequencing depth for the samples included in this analysis are provided in Tables 4.

10(c): Identification of Phased Variants from Targeted Sequencing Data

10(c)(1): Patient Enrollment and Clinical Sample Collection

Patients with B-cell lymphomas undergoing front-line therapy were enrolled on this study from six centers across North America and Europe, including Stanford University, MD Anderson Cancer Center, the National Cancer Institute, University of Eastern Piedmont (Italy), Essen University Hospital (Germany), and CHU Dijon (France). In total, 343 cell-free DNA, 73 tumor, and 183 germ-line samples from 183 patients were included in this study. All patient samples were collected with written informed consent for research use and were approved by the corresponding Institutional Review Boards in accordance with the Declaration of Helsinki. Cell-free, tumor, and germ-line DNA were isolated as previously described. All radiographic imaging was performed as part of standard clinical care.

10(c)(2): Library Preparation and Sequencing

To generate sequencing libraries and targeted sequencing data, CAPP-Seq was applied as previously described. Briefly, cell-free, tumor, and germ-line DNA were used to construct sequencing libraries through end repair, A-tailing, and adapter ligation following the KAPA Hyper Prep Kit manufacturer's instructions with ligation performed overnight at 4° C. CAPP-Seq adapters with unique molecular identifiers (UMIDs) were used for barcoding of unique DNA duplexes and subsequent deduplication of sequencing read pairs. Hybrid capture was then performed (SeqCap EZ Choice; NimbleGen) using the PhasED-Seq panel described above. Affinity capture was performed according to the manufacturer's protocol, with all 47° C. hybridizations conducted on an Eppendorf thermal cycler. Following enrichment, libraries were sequenced using an Illumina HiSeq4000 instrument with 2×150 bp paired-end (PE) reads.

10(c)(3): Pre-Processing and Alignment

FASTQ files were de-multiplexed and UMIDs were extracted using a custom pipeline as previously described. Following demultiplexing, reads were aligned to the human genome (build GRCh37/hg19) using BWA ALN. Molecular barcode-mediated error suppression and background polishing (i.e., integrated digital error suppression; iDES) were then performed as previously described.

10(c)(4): Identification of Phased Variants and Allelic Quantitation

After generating UMID error-suppressed alignment files (e.g., BAM files), PVs were identified from each sample as follows. First, matched germ-line sequencing of uninvolved peripheral blood mononuclear cells (PBMCs) was performed to identify patient-specific constitutional single nucleotide polymorphisms (SNPs). These were defined as non-reference positions with a variant allele fraction (VAF) above 40% with a depth of at least 10, or a VAF of above 0.25% with a depth of at least 100. Next, PVs were identified from read-level data for a sample of interest. Following UMID-mediated error suppression, each individual paired-end (PE) read and identified all non-reference positions were using ‘samtools calmd’. PE data was used rather than single reads to identify variants occurring on the same template DNA molecule, which may subsequently fall into either read 1 or read 2. Any read-pair containing ≥2 non-reference positions was considered to represent a possible somatic PV. For reads with >2 non-reference positions, each permutation of size ≥2 was considered independently: i.e., if 4 non-reference positions were identified in a read-pair, all combinations of 2 SNVs (i.e., ‘doublet’ phased variants) and all combinations of 3 SNVs (i.e., ‘triplet’ phased variants) were independently considered. PVs containing putative germ-line SNPs were also removed as follows: if in a given n-mer (i.e., n SNVs in phase on a given molecule) ≥n−1 of the component variants were identified as germ-line SNPs, the PV was redacted. This filtering strategy ensures that for any remaining PV, at least 2 of the component SNVs were not seen in the germ-line, as relevant for both sensitivity and specificity.

Putative somatic PVs were filtered using a heuristic blacklisting approach in considering sequencing data from 170 germ-line DNA samples serving as controls. In each of these samples, PVs were identified on read-pairs as described above, but without filtering for matched germ-line. Any PV that occurred in one or greater paired-end read, in one or more of these control samples, was included in the blacklist and removed from patient-specific somatic PV lists.

To calculate the VAF of each PV, a numerator representing the number of DNA molecules containing a PV of interest was calculated over a denominator representing the total number of DNA molecules that covered the genomic region of interest. That is, the numerator is simply the total number of deduplicated read-pairs that contain a given PV while the denominator is the number of read-pairs that span the genomic locus of a given PV.

10(c)(5): Genotyping Phased Variants from Pretreatment Samples

The above strategy resulted in a list of PVs of ≥1 read-depth in each sample. To identify PVs serving as tumor-specific somatic reporters for disease monitoring, for each case a ‘best genotyping’ specimen—either DNA from a tumor tissue biopsy (preferred), or pretreatment cell-free DNA was identified. After identifying all possible PVs in the ‘best genotyping sample’, the list for specificity was further filtered as follows. For any n-mer PV set, if ≥n−1 of the constituent SNVs were present as germ-line SNPs in the 170 control samples described above, the PV was removed. Furthermore, only PVs that meet the following criteria were considered: 1) AF >1%; 2) depth of the PV locus of ≥100 read-pairs, and 3) at least one component SNV must be in the on-target space. Finally, 4) any PV meeting these criteria was assessed for read-support in a cohort of 12 healthy control cfDNA samples. If any read-support was present in >1 of these 12 samples, the PV was removed. For genotyping from cell-free DNA samples identified as low tumor fraction by SNVs (i.e., <1% mean AF across all SNVs), the AF threshold for determining PVs was relaxed to >0.2%. This filtering resulted in the PV lists used for disease monitoring and MRD detection.

10(c)(6): Determination of Tumor Fraction in a Sample from Phased Variants

For evaluation of a sample for minimal residual disease (MRD) detection with prior knowledge of the tumor genotype, the presence of any PV identified in the best pretreatment genotyping sample in the MRD sample of interest can be assessed. Given a list of k possible tumor-derived PVs observed in the best genotyping sample, all read-pairs covering at least 1 of the k possible PVs were determined. This value, d, can be thought of as the aggregated ‘informative depth’ across all PVs spanned by cfDNA molecules in a PhasED-Seq experiment. It was then assessed how many of these d read-pairs actually contained 1 or more of the k possible PVs—this value, x, represents the number of tumor-derived molecules containing somatic PVs in a given sample. The number of tumor-derived molecules containing PVs divided by the informative depth—x/d—is therefore the phased-variant tumor fraction (PVAF) in a given sample. For detection of MRD in each sample, PVAF was calculated independently for doublet, triplet, and quadruplet PVs.

10(c)(7): Monte Carlo Simulation for Empirical Significance of PV Detection within a Specimen

To assess the statistical significance of the detection of tumor-derived PVs in any sample, an empiric significance testing approach was implemented. A test statistic f was first defined as follows—from a given list of k possible tumor-derived PVs observed in the best genotyping sample, the arithmetic mean of allele fractions was calculated across all k PVs (allele fraction defined as the number of read-pairs containing an individual PV (xi) over the number of read-pairs spanning the PV positions (di)):

$\begin{matrix} {f = \frac{\sum_{i = 1}^{k}\frac{x_{i}}{d_{i}}}{k}} & (1) \end{matrix}$

to assess the hypothesis that f is not significantly different from the background error-rate of similar PVs assessed from the same sample. A Monte Carlo approach was used to develop a null distribution and perform statistical testing as follows:

-   -   1. Given a set of k PVs, {pv₁ . . . pv_(i) . . . pv_(k)}, an         ‘alternate’ list of PVs, {pv′₁ . . . pv′_(i) . . . pv′_(k)}, was         generated such that for each alternate PV had the same type of         base change and distance between SNVs as the test PV. For         example, if a doublet PV, chr14:106329929 C>T and         chr14:106329977 G>A, was identified in the genotyping sample and         searched for an alternate two positions at the same genomic         distance (here, 48 bp) with reference bases C and G, and         assessed for read-pairs with the same types of base changes         (i.e., C>T and G>A), using the heuristic search scheme below.     -   2. For each tumor pv_(i) in the set of k, 50 such alternates         were identified. This was performed with a random search         algorithm to scan the genomic space and identify alternates. To         find these 50 alternates, a random position on the same         chromosome as the test pv_(i) was identified and then searched         for the same types of reference bases at the same genomic         distance as described above. Synteny of observed/alternate PVs         was used to control for regional variation in SHM/aSHM as well         as copy number variation, as potential confounders of the null         distribution. Alternate positions that were identified as a         germ-line SNP, defined as having AF >5%, were excluded.     -   3. After identifying 50 such alternates for each pv_(i), 10,000         random permutations of 1 alternate were generated for each of         the k original PVs and calculated the phased-variant fraction f′         for these alternate lists in the sample of interest being         evaluated for presence of MRD, as described above.     -   4. An empiric P-value was calculated, defined as the fraction of         times the true phased-variant fraction f is observed to be less         than or equal to the alternate f′ across the 10,000 random PV         lists as an empirical measure of significance of MRD         significance in the blood sample of interest.

While this resulting comparison is a measure of the significance for PV detection of tumor-reporter list compared to the empirically defined background PV error-rate within the sample of interest, its relationship to specificity of detection across cases and control samples was also evaluated, as described below.

10(c)(8): Assessment of Specificity of PhasED-Seq

To determine the specificity of disease and MRD detection through PhasED-Seq, patient-specific PVs from 107 patients with DLBCL were first identified using pretreatment tumor or plasma DNA along with paired germ-line samples. 40 independent plasma DNA samples were then assessed from healthy individuals for presence of these patient-specific PVs, using the Monte Carlo approach outlined above. A threshold for P-values was empirically determined from Monte Carlo such that 95% specificity was achieved for disease detection from doublet, triplet, and quadruplet PVs. The P-value threshold yielding ≥95% specificity for each size of PV was as follows: <0.041 for doublets, <1 for triplets, and <1 for quadruplets. The results of this specificity in control cfDNA analysis is shown in FIGS. 15 and 16.

10(c)(9): Calculation of Error Rates

To assess the error profile of both isolated SNVs and PVs, the non-reference base observation rate of each type of variant was examined across all reads. For isolated SNVs, the error-rate for each possible base change e_(n1>n1′) was calculated as the fraction of on-target bases with reference allele n1 that are mutated to alternate allele n1′, when considering all possible base-changes of the reference allele. Positions with a non-reference allele rate exceeding 5% were classified as probable germ-line events, and excluded from the error-rate analysis. A global error rate, defined as the rate of mutation from the hg19 reference allele to any alternate allele, was also calculated.

For phased variants, a similar calculation was performed. For the error-rate of a given type of phased variant composed of k constituent base-changes {e_(n1>n1′) . . . e_(nk>nk′)}, the error-rate was calculated by determining both the number of instances of the type of base change (i.e., the numerator), as well as the number of possible instances for the base change (i.e., the denominator). To calculate the numerator, N, the number of occurrences of the PV of interest over all read-pairs was counted in a given sample. For example, to calculate the error-rate of C>T and G>A phased doublets, the number of read-pairs that include both a reference C mutated to a T as well as a reference G mutated to an A was first counted.

To calculate the denominator, D, the number of possible instances of this type of phased variant was also calculated; this was performed first for each read-pair i, and then summed over all read pairs. A PV with k components can be summarized as having certain set of reference bases p_(A), p_(C), p_(G), p_(T), where p_(N) is the number of each reference base in the PV. Similarly, a given read pair contains a certain set of reference bases b_(A), b_(C), b_(G), b_(T), where b_(N) is the number of each reference base in the read pair. Therefore, for each read pair in a given sample, the number of possible occurrences of PV type of interest can be calculated combinatorically as:

$\begin{matrix} {D_{i} = {\begin{pmatrix} b_{A} \\ p_{A} \end{pmatrix}\begin{pmatrix} b_{C} \\ p_{C} \end{pmatrix}\begin{pmatrix} b_{G} \\ p_{G} \end{pmatrix}\begin{pmatrix} b_{T} \\ p_{T} \end{pmatrix}}} & (2) \end{matrix}$

For example, consider a read-pair with 40 reference As, 50 reference Cs, 45 reference Gs, and 35 reference Ts. The number of positions for a C>T and G>A PV is:

$\begin{matrix} {D_{i} = {{\begin{pmatrix} {40} \\ 0 \end{pmatrix}\begin{pmatrix} {50} \\ 1 \end{pmatrix}\begin{pmatrix} {45} \\ 1 \end{pmatrix}\begin{pmatrix} {35} \\ 0 \end{pmatrix}} = {2250}}} & (3) \end{matrix}$

The aggregated denominator, D, for error rate calculation is then simply the sum of this value over all read pairs. The error rate for this type of PV is then simply ND.

10(d): Differences in Phased Variants Between Lymphoma Subtypes

To compare the distribution of phased variants in different types of lymphomas, tumor-specific PVs were identified in 101 DLBCL, 16 PMBCL, and 23 cHL patients via sequencing of tumor biopsy specimens and/or pre-treatment cell-free DNA and paired germ-line specimens. After identifying these tumor-specific PVs, their distribution was the assessed across the targeted sequencing panel. The panel was first divided into 50 bp bins; for each patient, it was then determined if each patient had evidence of a PV within the 50 bp bin, defined as having at least one component of the PV within the bin. The nearest gene to each 50 bp bin was further determined, based on GENCODEv19 annotation of the reference genome.

To assess how the distribution of PVs between subtypes of lymphoma varies at the level of specific genes, the distribution of PVs was examined across the 50 bp bins spanning each gene (or nearest gene). For example, consider a given gene with n such 50 bp bins represented in targeted sequencing panel. For each bin, it was first determined the fraction of patients, f, in each type of lymphoma with a PV falling within the 50 bp bin—i.e., determining {f_(type1,1), . . . f_(type1,n)} and {f_(type2,1), . . . f_(type2,n)}. Then, any two histologies were then compared for the fraction of cases harboring PVs in the set of 50 bp bins assigned to each gene. These comparisons are depicted for individual genes on gene-specific plots in FIG. 2D and FIGS. 10-12.

The enrichment in PVs was statistically compared in a specific lymphoma type or subtype vs. another by calculating the difference in the fraction of patients which contain a PV in each 50 bp bin across all bins assigned to a gene (i.e., overlapping a given gene or with a given nearest gene). Specifically, for any comparison between two lymphoma types (type₁ and type₂), this set of differences in PV-rate was first identified between histologies {f_(type1,1)-f_(type2,1), . . . f_(type1,n)-f_(type2,n)}. This set of gene-specific differences in frequency of PVs was the compared between types of lymphoma against the distribution of all other 50 bp bins in the sequencing panel by the Wilcoxon rank sum test. For this test, the set of n 50 bp bins assigned to a given gene was compared to all other 50 bp bins (i.e., 6755−n, since there are 6755 50 bp bins in sequencing panel). This P-value, along with the mean difference in fraction of patients with a PV in each bin for each gene between histologies, is depicted as a volcano plot in FIG. 2E. To account for the global difference in rate of PVs between different histologies, the mean difference in fraction of patients with a PV between histologies was centered on 0 by subtracting the mean difference across all genes.

10(e): Hybridization Bias

To assess the effect of mutations on hybridization efficiency, the affinity of mutated molecules to wildtype capture baits in silico was first estimated by considering DNA fragments harboring 0-30% mutations across the entire fragment. For each mutation condition across this range, 10,000 regions were first randomly sampled, each 150 bp in length, from across the whole genome. These 150-mers were then mutated in silico to simulate the desired mutation rate in 3 different ways: 1) mutating ‘clustered’ or contiguous bases starting from the ends of a sequence, 2) mutating clustered bases started from the middle of the sequence, or 3) mutating bases selected at random positions throughout the sequence. The energy.c package was then used to calculate the theoretical binding energy (kcal/mol) between the mutated and wild-type sequences, in relying on a nearest-neighbor model employing established thermodynamic parameters (FIG. 14A).

This in silico experiment was then replicated by testing the effects of same mutation rates in vitro. Specifically, oligonucleotides (IDT) were synthesized and annealed to form DNA duplexes harboring 0-10% mutations at defined positions relative to the human reference genome sequence. These synthetic DNA molecules were then captured together at equimolar concentrations and quantified the relative capture efficiency of mutated duplexes compared to the wild-type, unmutated species (FIG. 3A). Two sets of oligonucleotide sequences were selected from coding regions of BCL6 and MYC to capture AID-mediated aberrant somatic hypermutations associated with each gene (Table 5); the preserved mappability of the mutated species was ensured by BWA ALN. These synthetic oligonucleotide duplexes were then subjected to library preparation, then captured and sequenced using PhasED-Seq, performed in triplicate using distinct samples. This allowed assessment of the relative efficiency of hybrid capture and molecular recovery as directly compared to wildtype molecules identical to the reference genome.

10(f): Assessment of Limit of Detection with Limiting Dilution Series

To empirically define the analytical sensitivity of PhasED-Seq, a limited dilution series of cell-free DNA from 3 patients that were spiked into healthy control cell-free DNA at defined concentrations was utilized. The dilution series contained samples with an expected mean tumor fraction of 0.1%, 0.01%, 0.001%, 0.0002%, 0.0001%, and 0.00005% or ranging from 1 part in 1,000 to 1 part in 2,000,000. The sequencing characteristics and ctDNA quantification via CAPP-Seq, duplex sequencing, and PhasED-Seq are provided. To compare the performance of each method, the difference was calculated, δ, between the observed and expected tumor fraction for each patient i at each dilution concentration j:

δ_(i,j)=

−tumorfrac_(i,j)  (4)

This value was calculated for patients i={1, 2, 3} and concentrations j={0.001%, 0.0002%, 0.0001%, 0.00005%} for each ctDNA detection method (CAPP-Seq, duplex, doublet PhasED-Seq, and triplet PhasED-Seq). The performance of each method was then compared to each other by paired t-test across this set of patients and concentrations.

10(g): Model to Predict the Probability of Detection for a Given Set of Phased Variants

To build a mathematical model to predict the probability of detection for a given sample of interest, it began with the common assumption that cfDNA detection can be considered a random process based on binomial sampling. However, unlike SNVs occurring at large genomic distances apart from one another, detection of PVs can be highly inter-dependent, especially when PVs are degenerate (i.e., when two PVs share component SNVs) or occur in close proximity. To account for this, only PVs occurring >150 bp apart from each other was considered as independent ‘tumor reporters’. The number of ‘tumor reporters’ to allow for disease detection in a given sample can thus be determined as follows. The PhasED-Seq panel was broken apart into 150 bp bins. Each PV in a given patient's reporter list was then turned into a BED coordinate, consisting of the start position (defined as the left-most component SNV) and end position (defined as the right-most component SNV). For each PV, the 150 bp bin from the PhasED-Seq selector panel containing the PV was determined; if a PV spanned two or more 150 bp bins, it was assigned to both bins. The number of independent tumor reporters was then defined as the number of separate 150 bp bins containing a tumor-specific PV.

A mathematical model was then developed comparing the expected probability of detection for a given sample at a given tumor fraction with a given number of independent tumor reporters (e.g., 150 bp bins). With a given number of tumor reporters r, at a given tumor fraction f, with a given sequencing depth d, the probability of detecting 1 or more cell-free DNA molecule containing a tumor-specific PV containing can be defined as:

$\begin{matrix} \begin{matrix} {{\Pr({detection})} = {1 - {\Pr({nondetection})}}} \\ {= {1 - {\begin{pmatrix} {d*r} \\ 0 \end{pmatrix}\ {f^{0}\left( {1 - f} \right)}^{d*r}}}} \end{matrix} & \begin{matrix} (5) \\ (6) \end{matrix} \end{matrix}$

based on simple binomial sampling. However, as ctDNA detection method was trained to have a 5% false positive rate, this false positive rate term was added to the model as well:

$\begin{matrix} {{{\Pr({detection})} = {1 - {\Pr({nondetection})} + {0.05*{\Pr({nondetection})}}}}\begin{matrix} {\mspace{79mu}{{\Pr({detection})} = {1 - {0.95*{\Pr({nondetection})}}}}} \\ {= {1 - {0.95*\begin{pmatrix} {d*r} \\ 0 \end{pmatrix}\ {f^{0}\left( {1 - f} \right)}^{d*r}}}} \end{matrix}} & \begin{matrix} \begin{matrix} \begin{matrix} (7) \\ (8) \end{matrix} \\ \; \end{matrix} \\ (9) \end{matrix} \end{matrix}$

FIG. 3G shows the results of this model for a range of tumor reporters r from 3 to 67 at depth d of 5000. The confidence envelope on this plot shows solutions for a range of depth d from 4000 to 6000.

To empirically validate this model assessing the probability of disease detection, samples from limiting dilution series were utilized. In this dilution series, 3 patient cfDNA samples, each containing patient-specific PVs, were spiked into healthy control cfDNA. For each list of patient specific PVs, 25 random subsamplings of the 150 bp bins containing patient-specific PVs were performed to generate reporter lists containing variable numbers of tumor-specific reporters. A maximum bin number of 67 was selected to allow sampling from all 3 patient-specific PV lists, followed by scaling down the number of bins by 2× or 3× per operation. This resulted in reporter lists containing patient-specific PVs from 3, 6, 17, 34, or 67 independent 150 bp bins. Disease detection was then assessed using each of these patient-specific PV lists of increasing size in each of ‘wet’ limiting dilution samples from 1:1,000 to 1:1,000,000 (FIG. 3H, closed circles). In silico mixtures was further created using sequencing reads from limiting dilution samples with varying expected tumor-content, and again assessed for the probability of disease detection using patient-specific subsampled PV reporter lists of varying lengths (open circles). For this experiment, both the ‘wet’ and ‘in-silico’ dilution bam files were down-sampled to achieve a depth of ˜4000-6000× to correspond with modeled depth. The final mean and standard deviation of depth across all down-sampled bam files was 4214×±789. The probability of detection was summarized across all tests at a given expected tumor fraction, for a given patient-specific PV list. For each given dilution, multiple independently sampled sets of reads were considered to allow superior estimation of the true probability of detection. Specifically, the following number of replicates at each dilution indicated was considered in Table 7.

TABLE 7 Replicates at each dilution for predicting the probability of detection for a given set of phased variants. Number of Tests Wet or Dilution Replicates (Replicates * 25) In silico 1:1,000 1 25 Wet 5:10,000 3 75 In silico 3.5:10,000 3 75 In silico 2: 10,000 3 75 In silico 1:10,000 3 75 Wet 5:100,000 3 75 In silico 3.5:100,000 3 75 In silico 2:100,000 3 75 In silico 1:100,000 3 75 Wet 5:1,000,000 8 200 In silico 3.5:1,000,000 8 200 In silico 2:1,000,000 8 200 Wet 1:1,000,000 8 200 Wet

The total number of tests, for each patient-specific PV list, is therefore the number of randomly subsampled PV lists (e.g., 25) times the number of independently downsampled bam files; this number is provided in the table above. In FIG. 3H, the points and error-bars represent the mean, minimum, and maximum across all three patients. The concordance between the predicted probability of disease detection from theoretical mathematical model and wet and in silico samples validating this model, is shown in FIG. 3I.

10(h): Statistical Analyses & Software Availability

All P-values reported in this manuscript are 2-sided unless otherwise noted. Comparisons of matched samples and populations were performed using the Wilcoxon signed rank test; comparisons of samples drawn from unrelated populations were performed using the Wilcoxon rank-sum test. Comparisons of paired samples were performed by paired t-test. Survival probabilities were estimated using the Kaplan-Meier method; survival of groups of patients based on ctDNA levels were compared using the log-rank test. Other statistical tests are noted in the manuscript text where utilized. All analyses were performed with the use of MATLAB, version 2018b, R Statistical Software version 3.4.1, and GraphPad Prism, version 8.0.2. The contribution of known mutational processes to phased and isolated SNVs from WGS was assessed with the deconstruct Sigs R package using the COSMIC signature set (v2) as described. Calculation of AUC accounting for survival and censorship was performed using the R ‘survivalROC’ package version 1.0.3 with default settings. An executable version of the PhasED-Seq software, developed in C++ 17, is available at phasedseq(dot)stanford(dot)edu.

Example 11

Using methods and systems of the present disclosure, cell-free nucleic acid molecules may be analyzed to detect insertions and deletions (indels) contained therein, and the detected indels may be applied toward various applications (e.g., determining a presence or absence of a condition in a subject, such as a neoplasm of the subject, a cancer of the subject, a transplant rejection of the subject, or a chromosomal abnormality of a fetus of the subject; and determining whether cell-free nucleic acid molecules are tumor-derived).

For example, using methods and systems of the present disclosure, cell-free nucleic acid molecules may be analyzed from a subject who has received an organ or tissue transplant to detect phased variants and/or insertions and deletions (indels) contained therein, and the detected PVs and/or indels may be applied toward various applications (e.g., determining a presence or absence of a transplant rejection of a subject.

As another example, using methods and systems of the present disclosure, cell-free nucleic acid molecules may be analyzed from a pregnant subject to detect phased variants and/or insertions and deletions (indels) contained therein, and the detected PVs and/or indels may be applied toward various applications (e.g., determining a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject).

While indels share some factors in common with phased variants (e.g., they contain multiple non-reference bases), indels may also differ from phased variants in various ways (e.g., biological differences, where a biological indel can occur with a single DNA replication error, while a PV may require two separate errors; and technical errors related to mapping, in which an indel may require one mismatch and/or non-templated event, while a phased variant may require two or more such mismatches and/or non-templated events).

In some embodiments, the indels alone that are detected in cell-free nucleic acid molecules may be applied toward various applications by leveraging their low background or error rates (e.g., determining a presence or absence of a condition in a subject, such as a neoplasm or cancer; and determining whether cell-free nucleic acid molecules are tumor-derived). In some embodiments, the detected indels in combination with detected phased variants in cell-free nucleic acid molecules may be applied toward various applications (e.g., determining a presence or absence of a condition in a subject, such as a neoplasm or cancer; and determining whether cell-free nucleic acid molecules are tumor-derived).

A set of 12 healthy cfDNA samples used to assess the error or background rate in iDES-enhanced CAPP-Seq, duplex sequencing, and PhasED-Seq, was analyzed to assess for the error-rate of indels as well. This analysis was performed on the same sequencing data, making the error-rates comparable. The error or background rate was defined for each of these types of alterations as follows. The SNV background rate was defined as the number of non-reference bases over the total number of bases, as described herein. The indel background rate was defined as the total number of indels observed after mapping over the total number of bases, as described herein. The PV background rate was defined as the total number of combinations of non-reference PVs over the total number of possible PVs for a given size, as described herein.

All events occurring at greater than 5% allele fraction were considered to be germline and were not included here. In addition to the observed background in SNVs and PVs reported, FIG. 28 shows the background rate of indels of all sizes, greater or equal to 2 base pairs, greater or equal to 3 bps, and greater or equal to 4 bps, and across this set of 12 healthy control cfDNA samples.

As FIG. 28 demonstrates, the error profile of indels improves when only larger indels are considered. Interestingly, the background rate for indels of length 1 bp or larger was observed to be similar to the background rate for SNVs without in silico error suppression (8.0E-5 vs. 8.0E-5, respectively). However, longer indels (e.g., specifically those greater than or equal to 4 bp long) had a lower background rate, comparable with the background rate of SNVs from duplex sequencing (8.9E-6 vs 1.2E-5). However, the background rate of both doublet and triplet PVs was observed to be lower than that of both the duplex and larger indels (background rate of 8.0E-7 and 3.5E-8 respectively for doublet and triplet PVs). Notably, this lower background for PVs was true even without the use of UMIs or molecular barcodes.

This lower background rate for PVs is likely biological in origin. As discussed herein, there is substantial potential for true biological background in SNVs or indels, which may be greater than for PVs, as each of the SNVs or indels may only require one somatic mutational event, while PVs may require at least two somatic events. Nevertheless, the background rate for PVs supports its utility for improving the limit of detection for low-level tumor burden from cell-free DNA. However, in cases with low numbers of PVs, tracking longer indels (e.g., greater than or equal to 3 bp in length) may provide an alternative source of low error-rate tumor-reporters to enable ultra-sensitive tumor monitoring. Therefore, indel monitoring may be leveraged as a complementary or alternative approach to the detection and analysis of PVs in cell-free DNA.

Example 12

Using methods and systems of the present disclosure, cell-free nucleic acid molecules may be analyzed from a subject who has received an organ or tissue transplant to detect phased variants and/or insertions and deletions (indels) contained therein, and the detected PVs and/or indels may be applied toward various applications (e.g., determining a presence or absence of a transplant rejection of a subject). In some embodiments, the subject has received a transplant of an organ (e.g., heart, kidney, liver, lung, pancreas, stomach and intestine), a tissue (e.g., cornea, bone, tendon, skin, pancreas islets, heart valves, nerves and veins), cells (e.g., bone marrow and stem cells), or a limb (e.g., a hand, an arm, a foot).

In some embodiments, upon identifying a subject as having a transplant rejection, the method may further comprise treating the subject for the transplant rejection. In some embodiments, the treatment comprises an immunosuppressive drug, an anti-body based treatment, a blood transfer, a marrow transplant, a gene therapy, a transplant removal, and/or a re-transplant procedure. In some embodiments, the immunosuppressive drug comprises a corticosteroid (e.g., prednisolone, hydrocortisone), a calcineurin inhibitor (e.g., ciclosporin, tacrolimus), an anti-proliferative (e.g., azathioprine, mycophenolic acid), or an mTOR inhibitor (e.g., sirolimus, everolimus). In some embodiments, the antibody-based treatment comprises a monoclonal anti-IL-2Rα receptor antibody (e.g., basiliximab, daclizumab), a polyclonal anti-T-cell antibody (e.g., anti-thymocyte globulin (ATG), anti-lymphocyte globulin (ALG)), or a monoclonal anti-CD20 antibody (e.g., rituximab).

In some embodiments, the subject may be monitored over time (e.g., by analyzing cell-free nucleic acid molecules to detect PVs and/or indels at a plurality of different time points) to assess the transplant rejection status of the subject and/or to determine a progression of the transplant rejection status of the subject.

In some embodiments, the detected PVs and/or indels of a subject may be compared to those of a first subject cohort having transplant rejection and/or a second subject cohort not having transplant rejection.

Example 13

Using methods and systems of the present disclosure, cell-free nucleic acid molecules may be analyzed from a pregnant subject to detect phased variants and/or insertions and deletions (indels) contained therein, and the detected PVs and/or indels may be applied toward various applications (e.g., determining a presence, an absence, or an elevated risk of a genetic abnormality of a fetus of the pregnant subject).

In some embodiments, upon identifying the fetus of the pregnant subject as having a genetic abnormality, the method may further comprise treating the subject or conducting follow-up clinical procedures (e.g., an invasive or non-invasive diagnostic procedure) for the pregnant subject.

In some embodiments, the detected PVs and/or indels of a subject may be compared to those of a first subject cohort having a fetus with a genetic abnormality and/or a second subject cohort not having a fetus with a genetic abnormality.

In some embodiments, the genetic abnormality is a chromosomal aneuploidy. In some embodiments, the chromosomal aneuploidy is in chromosome 13, 18, 21, X, or Y.

Example 14

Additional details of the tables described throughout the present disclosure are provided herein:

TABLE 1: 1000 bp regions of interest throughout the genome containing putative phased variants (PV) in various lymphoid neoplasms. Only regions containing >1 subject with a PV are shown. Coordinates are in hg19. Regions from genes that were previously identified as targets of activation-induced deaminase (AID) are labeled. Regions that contain PVs in >5% of subjects in any histology (BL, CLL, DLBCL, FL) are also labeled. BL, Burkitt lymphoma; CLL, chronic lymphocytic leukemia; DLBCL, diffuse large B-cell lymphoma; FL, follcicular lymphoma.

TABLE 2: 1000 bp regions of interest throughout the genome containing putative phased variants (PV) in the ABC and GCB subtypes of DLBCL. Only regions containing >1 subject with a PV are shown. Coordinates are in hg19. Regions from genes that were previously identified as targets of AID are labeled. ABC, activated B-cell subtype; GCB, germinal center B-cell subtype.

TABLE 3: Regions used for the PhasED-Seq capture reagent described in this paper focused on lymphoid malignancies. Coordinates are in hg19. The closest gene and the reason for inclusion (Phased Variants vs general DLBCL genotyping) is also shown.

TABLE 4: Enrichment of PVs at genetic loci throughout the PhasED-Seq targeted sequencing panel for different types of B-cell lymphomas (DLBCL including ABC and GCB subtypes, PMBCL, and cHL). The PhasED-Seq selector was binned into 50 bp bins in hg19 coordinates, and each bin was labelled by gene or nearest gene. The mean of the fraction of cases of a given histology with a PV across all 50 bp bins is shown. Significance was determined by rank-sum (Mann-Whitney U) test of 50 bp bins for a given gene against the remainder of the sequencing panel. Uncorrected P-values are shown; multiple-hypothesis testing correction was performed by Bonferroni method. DLBCL, diffuse large B-cell lymphoma; PMBCL, primary mediastinal B-cell lymphoma; cHL, classical Hodgkin lymphoma; ABC, activated B-cell DLBCL; GCB, germinal center B-cell DLBCL.

TABLE 5: Sequences of oligonucleotides synthesized to assess hybridization and molecular recovery bias with increasing mutational burden (SEQ ID NOs. 1331-1358).

TABLE 6: Nucleic acid probes for Capture Sequencing of B-cell Cancers (SEQ ID NOs. 0001-1330).

While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. It is not intended that the invention be limited by the specific examples provided within the specification. While the invention has been described with reference to the aforementioned specification, the descriptions and illustrations of the embodiments herein are not meant to be construed in a limiting sense. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. Furthermore, it shall be understood that all aspects of the invention are not limited to the specific depictions, configurations or relative proportions set forth herein which depend upon a variety of conditions and variables. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is therefore contemplated that the invention shall also cover any such alternatives, modifications, variations or equivalents. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.

Region Region # Chromosome Start End BL CLL DLBCL FL 1 chr1 756000 757000 0.028 0.000 0.015 0.000 2 chr1 1963000 1964000 0.028 0.000 0.015 0.000 3 chr1 2052000 2053000 0.028 0.000 0.000 0.014 4 chr1 3789000 3790000 0.000 0.000 0.029 0.000 5 chr1 6613000 6614000 0.000 0.000 0.044 0.014 6 chr1 6614000 6615000 0.000 0.000 0.088 0.027 7 chr1 6661000 6662000 0.000 0.000 0.029 0.014 8 chr1 6662000 6663000 0.000 0.000 0.044 0.014 9 chr1 9129000 9130000 0.000 0.000 0.044 0.000 10 chr1 10894000 10895000 0.028 0.000 0.000 0.014 11 chr1 17019000 17020000 0.028 0.000 0.000 0.014 12 chr1 17231000 17232000 0.000 0.000 0.015 0.014 13 chr1 19935000 19936000 0.000 0.000 0.029 0.000 14 chr1 21091000 21092000 0.000 0.000 0.015 0.014 15 chr1 23885000 23886000 0.444 0.000 0.015 0.000 16 chr1 28408000 28409000 0.000 0.000 0.029 0.000 17 chr1 32373000 32374000 0.000 0.000 0.029 0.000 18 chr1 36722000 36723000 0.000 0.012 0.015 0.000 19 chr1 46576000 46577000 0.000 0.000 0.015 0.014 20 chr1 51965000 51966000 0.000 0.006 0.015 0.000 21 chr1 51978000 51979000 0.000 0.000 0.029 0.000 22 chr1 51983000 51984000 0.000 0.006 0.029 0.000 23 chr1 72393000 72394000 0.000 0.000 0.015 0.014 24 chr1 73719000 73720000 0.000 0.000 0.029 0.000 25 chr1 77315000 77316000 0.028 0.006 0.000 0.000 26 chr1 81306000 81307000 0.000 0.000 0.015 0.014 27 chr1 81527000 81528000 0.000 0.000 0.029 0.000 28 chr1 82009000 82010000 0.028 0.000 0.015 0.000 29 chr1 84106000 84107000 0.000 0.006 0.015 0.000 30 chr1 87524000 87525000 0.000 0.006 0.015 0.000 31 chr1 94551000 94552000 0.000 0.000 0.029 0.000 32 chr1 94552000 94553000 0.000 0.000 0.029 0.000 33 chr1 103696000 103697000 0.000 0.000 0.000 0.027 34 chr1 116979000 116980000 0.000 0.000 0.044 0.041 35 chr1 149784000 149785000 0.000 0.000 0.015 0.014 36 chr1 149821000 349822000 0.000 0.000 0.044 0.000 37 chr1 149857000 149858000 0.000 0.000 0.015 0.014 38 chr1 149858000 149859000 0.000 0.000 0.059 0.000 39 chr1 160616000 160617000 0.000 0.000 0.015 0.014 40 chr1 162711000 162712000 0.000 0.000 0.000 0.015 41 chr1 163684000 163685000 0.000 0.000 0.015 0.414 42 chr1 167598000 167599000 0.000 0.000 0.044 0.014 43 chr1 167599000 167600000 0.000 0.000 0.029 0.014 44 chr1 167600000 167601000 0.000 0.000 0.014 0.000 45 chr1 174333000 174334000 0.000 0.000 0.015 0.414 46 chr1 187263000 187264000 0.000 0.000 0.044 0.000 47 chr1 187283000 187284000 0.000 0.000 0.029 0.000 48 chr1 187892000 187893000 0.028 0.000 0.015 0.000 49 chr1 195282000 195283000 0.000 0.000 0.015 0.014 50 chr1 198591000 198592000 0.000 0.000 0.029 0.000 51 chr1 198608000 198609000 0.000 0.000 0.029 0.000 52 chr1 198609000 198610000 0.000 0.000 0.029 0.000 53 chr1 202004000 202005000 0.028 0.000 0.029 0.000 54 chr1 203273000 203274000 0.000 0.000 0.029 0.000 55 chr1 203274000 203275000 0.000 0.000 0.176 0.014 56 chr1 203275000 203276000 0.028 0.006 0.471 0.081 57 chr1 203276000 203277000 0.028 0.000 0.059 0.000 58 chr1 205780000 205781000 0.000 0.000 0.000 0.027 59 chr1 205781000 205782000 0.000 0.000 0.000 0.027 60 chr1 206283000 206284000 0.000 0.000 0.015 0.014 61 chr1 206286000 206287000 0.000 0.000 0.029 0.014 62 chr1 217044000 217045000 0.000 0.000 0.029 0.000 63 chr1 226924000 226925000 0.000 0.000 0.029 0.000 64 chr1 226925000 226926000 0.000 0.000 0.044 0.000 65 chr1 226926000 226927000 0.000 0.000 0.029 0.000 66 chr1 229974000 229975000 0.028 0.000 0.015 0.027 67 chr1 235131000 235132000 0.000 0.000 0.000 0.027 68 chr1 235141000 235142000 0.000 0.000 0.015 0.014 69 chr1 239787000 238788000 0.000 0.000 0.029 0.000 70 chr1 248088000 248089000 0.028 0.000 0.015 0.000 71 chr2 630000 631000 0.000 0.000 0.000 0.027 72 chr2 3484000 1485000 0.000 0.000 0.000 0.027 73 chr2 7991000 7992000 0.056 0.000 0.000 0.000 74 chr2 12173000 12174000 0.000 0.000 0.044 0.000 75 cht2 12175000 12176000 0.000 0.000 0.029 0.000 76 chr2 12249000 12250000 0.000 0.000 0.029 0.000 77 chr2 14113000 14114000 0.000 0.000 0.000 0.027 78 chr2 17577000 17578000 0.000 0.000 0.015 0.014 79 chr2 19253000 19254000 0.000 0.000 0.029 0.000 80 chr2 24802000 24803000 0.000 0.000 0.029 0.000 81 chr2 31478000 31479000 0.000 0.000 0.015 0.014 82 chr2 41728000 41729000 0.000 0.000 0.015 0.014 83 chr2 45404000 45405000 0.000 0.000 0.000 0.027 84 chr2 47923000 47924000 0.000 0.000 0.015 0.014 85 chr2 47944000 47945000 0.000 0.000 0.029 0.000 86 chr2 51360000 51361000 0.000 0.000 0.015 0.014 87 chr2 51655000 51656000 0.000 0.000 0.000 0.027 88 chr2 56565000 56566000 0.000 0.000 0.029 0.000 89 chr2 57800000 57801000 0.000 0.000 0.015 0.014 90 chr2 60779000 60780000 0.000 0.000 0.029 0.027 91 chr2 60780000 60781000 0.000 0.000 0.029 0.000 92 chr2 63802000 63803000 0.000 0.000 0.000 0.027 93 chr2 63827000 63828000 0.000 0.000 0.015 0.014 94 chr2 64319000 64320000 0.000 0.000 0.044 0.000 95 chr2 65593000 65594000 0.000 0.000 0.044 0.054 96 chr2 67002000 67003000 0.028 0.000 0.029 0.000 97 chr2 70315000 70316000 0.083 0.000 0.000 0.000 98 chr2 79502000 79503000 0.028 0.000 0.015 0.000 99 chr2 79644000 79645000 0.000 0.000 0.000 0.027 100 chr2 81818000 81819000 0.000 0.000 0.000 0.027 101 chr2 82310000 82311000 0.028 0.000 0.015 0.000 102 chr2 82948000 82949000 0.000 0.000 0.029 0.000 103 chr2 85335000 85336000 0.000 0.000 0.000 0.027 104 chr2 88905000 88906000 0.000 0.000 0.059 0.000 105 chr2 88906000 88907000 0.000 0.006 0.074 0.014 106 chr2 88907000 88908000 0.000 0.000 0.059 0.000 107 chr2 89052000 89053000 0.000 0.006 0.035 0.000 108 chr2 89065000 89066000 0.000 0.000 0.015 0.027 109 chr2 89066000 89067000 0.000 0.000 0.015 0.014 110 chr2 89095000 99096000 0.000 0.000 0.015 0.014 111 chr2 89127000 89128000 0.000 0.006 0.147 0.041 112 chr2 89128000 89129000 0.028 0.006 0.176 0.041 113 chr2 89129000 89130000 0.000 0.000 0.044 0.041 114 chr2 89130000 89131000 0.000 0.000 0.044 0.000 115 chr2 89131000 89132000 0.000 0.000 0.029 0.000 116 chr2 89132000 89133000 0.000 0.006 0.015 0.014 117 chr2 89133000 89134000 0.000 0.000 0.029 0.041 118 chr2 89137000 99138000 0.000 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Fisher_p_ Fisher_p_ Fisher_p_ DLBCL_ DLBCL_ DLBCL_ Previously overSpctInAny # ClosestGene vs_FL vs_BL vs_CLL Identified Histology 1 AL669831.1 0.47887 1.00000 0.29694 0 0 2 GBRD 0.47887 1.00000 0.29694 0 0 3 PRKCZ 1.00000 0.34615 1.00000 0 0 4 DFFB 0.22755 0.54294 0.08726 0 0 5 NOL9 0.34948 0.54966 0.02537 1 0 6 NOL9 0.15270 0.09031 0.00058 1 1 7 KLHL21 0.60686 0.54294 0.08726 0 0 8 KLHL21 0.34948 0.54966 0.02537 0 0 9 SLC2A5 0.10727 0.54966 0.02537 0 0 10 Clorf127 1.00000 0.34615 1.00000 0 0 11 AL137798.1 1.00000 0.34615 1.00000 0 0 12 CROCC 1.00000 1.00000 0.29694 0 0 13 MINOS1-NBL1 0.22755 0.54294 0.08726 0 0 14 HP1BP3 1.00000 1.00000 0.29694 0 0 15 ID3 0.47887 0.00000 0.29694 1 1 16 EYA3 0.22755 0.54294 0.08726 0 0 17 PTP4A2 0.22755 0.54294 0.08726 0 0 18 THRAP3 0.47887 1.00000 1.00000 0 0 19 PIKR3 1.00000 1.00000 0.29694 0 0 20 EPS15 0.47887 1.00000 0.50663 0 0 21 EPS15 0.22755 0.54294 0.08726 0 0 22 EPS15 0.22755 0.54294 0.21104 0 0 23 NEGR1 1.00000 1.00000 0.29694 0 0 24 I.RRIQ3 0.22755 0.54294 0.08726 0 0 25 ST6GALNAC5 1.00000 0.34615 1.00000 0 0 26 LPHN2 1.00000 1.00000 0.29694 0 0 27 LPHN2 0.22755 0.54294 0.08726 0 0 28 LPDN2 0.47887 1.00000 0.29694 0 0 29 TTLL7 0.47887 1.00000 0.50663 0 0 30 HS2ST1; 0.47887 1.00000 0.50663 0 0 HS2STILOC339524; 31 ABCA4 0.22755 0.54294 0.08726 0 0 32 ABCA4 0.22755 0.54294 0.08726 0 0 33 COL11A1 0.49735 1.00000 1.00000 0 0 34 ATP1A1 1.00000 0.54966 0.02537 0 0 35 HIST2H3D 1.00000 1.00000 0.29694 1 0 36 HIST2H2AA4 0.10727 0.54966 0.02537 1 0 37 HIST2H2BE 1.00000 1.00000 0.29694 1 0 38 HIST2H2AC; 0.05016 0.29551 0.00730 0 1 HIST2H2BE; 39 SFAMF1 1.00000 1.00000 0.29694 0 0 40 DDR2 1.00000 1.00000 0.29694 0 0 41 NUF2 1.00000 1.00000 0.29694 0 0 42 RCSD1 0.34948 0.54966 0.02537 0 0 43 RCSD1 0.60686 0.54294 0.08726 0 0 44 RCSD1 0.10727 0.54966 0.02537 0 0 45 RABGAPIL 1.00000 1.00000 0.29694 0 0 46 PLA2G4A 0.10727 0.54966 0.02537 0 0 47 PLA2G4A 0.22755 0.54294 0.08726 0 0 48 PLA2G4A 0.47887 1.00000 0.29694 0 0 49 KCNT2 1.00000 1.00000 0.29694 0 0 50 PTPRC 0.22755 0.54294 0.08726 0 0 51 PTPRC 0.22755 0.54294 0.08726 0 0 52 PTPRC 0.22755 0.54294 0.08726 0 0 53 ELF3 0.22755 1.00000 0.08726 0 0 54 BTG2 0.22755 0.54294 0.08726 1 0 55 BTG2 0.00078 0.00730 0.00000 1 1 56 BTG2 0.00000 0.00000 0.00000 1 1 57 BTG2 0.05016 0.65667 0.00730 1 1 58 SLC41A1 0.49735 1.00000 1.00000 0 0 59 SLC41A1 0.49735 1.00000 1.00000 0 0 60 CTSE 1.00000 1.00000 0.29694 0 0 61 CTSE 0.60686 0.54294 0.08726 0 0 62 ESRRG 0.22755 0.54294 0.08726 0 0 63 ITPKB 0.22755 0.54294 0.08726 1 0 64 ITPKB 0.10727 0.54966 0.02537 1 0 65 ITPKB 0.22755 0.54294 0.08726 1 0 66 URB2 1.00000 1.00000 0.29694 0 0 67 TOMM20 0.49735 1.00000 1.00000 0 0 68 TOMM20 1.00000 1.00000 0.29694 0 0 69 MTRNR2L11 0.22755 0.54294 0.08726 0 0 70 OR2T8 0.47887 1.00000 0.29694 0 0 71 TMEM18 0.49735 1.00000 1.00000 0 0 72 TPO 0.49735 1.00000 1.00000 0 0 73 RN144A 1.00000 0.11763 1.00000 0 1 74 LPIN1 0.10727 0.54966 0.02537 0 0 75 LPIN1 0.22755 0.54294 0.08726 0 0 76 LPIN1 0.22755 0.54294 0.08726 0 0 77 FAM84A 0.49735 1.00000 1.00000 0 0 78 RAD51AP2 1.00000 1.00000 0.29694 0 0 79 OSR1 0.22755 0.54294 0.08726 0 0 80 NCOA1 0.22755 0.54294 0.08726 0 0 81 EHD3 1.00000 1.00000 0.29694 0 0 82 C2orf91 1.00000 1.00000 0.29694 0 0 83 SIX2 0.49735 1.00000 1.00000 0 0 84 MSH6 1.00000 1.00000 0.09694 0 0 85 MSH6 0.22755 0.54294 0.08726 0 0 86 NRXN1 1.00000 1.00000 0.29694 0 0 87 NRXN1 0.49735 1.00000 1.00000 0 0 88 CCDC85A 0.22755 0.54294 0.08726 0 0 89 VRK2 1.00000 1.00000 0.29694 0 0 90 BCL11A 1.00000 0.54294 0.08726 0 0 91 BCL11A 0.22755 0.54294 0.08726 0 0 92 WDPCP 0.49735 1.00000 1.00000 0 0 93 MDH1 1.00000 1.00000 0.29694 0 0 94 PELI1 0.10727 0.54966 0.02537 0 0 95 SPRED2 1.00000 0.54966 0.02537 1 1 96 MEIS1 0.22755 1.00000 0.08726 0 0 97 PCBP1 1.00000 0.03921 1.00000 0 1 98 REG3A 0.47887 1.00000 0.29694 0 0 99 CTNNA2 0.49735 1.00000 1.00000 0 0 100 CTNNA2 0.49735 1.00000 1.00000 0 0 101 CTNNA2 0.47887 1.00000 0.29694 0 0 102 SUCLG1 0.22755 0.54294 0.08726 0 0 103 TCF7L1 0.49735 1.00000 1.00000 0 0 104 EIF2AK3 0.05016 0.29551 0.00730 0 1 105 EIF2AK3 0.10420 0.16101 0.00953 0 1 106 EIF2AK3 0.05016 0.29551 0.00730 0 1 107 RPIA 0.47887 1.00000 0.50663 0 0 108 RPIA 1.00000 1.00000 0.29694 0 0 109 RPIA 1.00000 1.00000 0.29694 0 0 110 RPIA 1.00000 1.00000 0.29694 0 0 111 IGKC 0.03985 0.01404 0.00003 0 1 112 IGKC 0.01224 0.03142 0.00000 0 1 113 IGKC 1.00000 0.54966 0.02537 0 0 114 IGKC 0.10727 0.54966 0.02537 0 0 115 IGKC 0.22755 0.54294 0.08726 0 0 116 IGKC 1.00000 1.00000 0.50663 0 0 117 IGKC 1.00000 0.54294 0.08726 0 0 118 IGKC 0.34948 0.54966 0.02537 0 0 119 IGKC 1.00000 1.00000 0.29694 0 0 120 IGKC 0.34948 0.54966 0.02537 0 0 121 IGKC 0.52007 0.09031 0.00058 0 1 122 IGKC 0.08710 0.09269 0.00099 0 1 123 IGKC 0.01070 0.09031 0.00058 0 1 124 IGKC 0.22755 0.54294 0.08726 0 0 125 IGKC 1.00000 1.00000 0.29694 0 0 126 IGK 0.60686 0.54294 0.08726 0 0 127 IGKC 0.60686 0.54294 0.08726 0 0 128 IGKC 0.22755 0.54294 0.08726 0 0 129 IGKC 0.19371 0.29551 0.00730 0 1 130 IGKC 0.02808 0.09269 0.00016 0 1 131 IGKC 0.14439 0.00048 0.00000 0 1 132 IGKC 0.05462 0.00001 0.00000 0 1 133 IGKC 0.24418 0.00083 0.00000 0 1 134 IGKJ3JGKJ4; 0.23729 0.68125 0.00019 0 1 IGKJ5; 135 IGKJ1; IGKJ2; 0.10957 0.81234 0.00049 0 1 136 IGKJ1 0.10913 0.04835 0.00000 0 1 137 IGKJ1 0.41068 0.00098 0.00117 0 1 138 IGKJ1 0.33637 0.00075 0.00821 0 1 139 IGKJ1 0.43812 0.02316 0.02379 0 1 140 IGKJ1 0.67043 1.00000 0.15671 0 0 141 IGKJ1 1.00000 1.00000 0.29694 0 0 142 IGKV4-1 0.36833 1.00000 0.50663 0 1 143 IGKV4-1 0.81354 0.05349 0.01816 0 1 144 IGKV5-2 0.19371 0.29551 0.00730 0 1 145 IGKV5-2 0.49735 1.00000 1.00000 0 0 146 IGKV5-2 1.00000 1.00000 1.00000 0 0 147 IGKV1-5 1.00000 0.54294 1.00000 0 0 148 IGKV1-5 0.23086 0.15803 0.00321 0 1 149 IGKV1-5 0.10727 1.00000 0.02537 0 0 150 IGKV1-6 1.00000 1.00000 0.29694 0 0 151 IGKV1-8 0.22755 0.54294 0.63492 0 0 152 IGKV1-8 0.10727 0.54966 0.42650 0 0 153 IGKV3-11 0.24603 1.00000 0.55662 0 0 154 IGKV3-11 1.00000 1.00000 1.00000 0 0 155 IGKV3-20 0.40586 0.71556 0.53493 0 1 156 ICKV3-20 0.62100 1.00000 0.29694 0 0 157 IGKV2-24 1.00000 0.34615 1.00000 0 0 158 IGKV1-27 0.22755 0.54294 0.08726 0 0 159 IGKV2-28 1.00000 1.00000 0.29694 0 0 160 IGKV2-30 0.34948 1.00000 0.02537 0 0 161 IGKV2-30 0.60686 0.54294 0.08726 0 0 162 IGKV2-30 0.19371 0.65667 0.06548 0 1 163 IGKV2-30 0.22755 0.54294 0.21104 0 0 164 IGKVID-8 1.00000 1.00000 0.29694 0 0 165 IGKVID-8 0.19371 0.29551 0.00730 0 1 166 DUSP2 0.10727 0.54966 0.02537 1 0 167 DUSP2 0.34948 0.54966 0.02537 1 0 168 DUSP2 0.22755 0.54294 0.08726 1 0 169 TMEMI31 1.00000 1.00000 0.29694 0 0 170 AFF3 1.00000 0.54291 0.08726 0 0 171 AFF3 0.34948 0.54966 0.02537 0 0 172 FHL2 0.22755 0.54294 0.08726 0 0 173 BCL2L11 0.60986 0.54294 0.08726 0 0 174 BCL2L11 0.34948 0.54966 0.02537 0 0 175 ANAPC1 1.00000 1.00000 0.29694 0 0 176 DPP10 1.00000 1.00000 0.29694 0 0 177 DPP10 1.00000 0.34615 1.00000 0 0 178 CNTNAP5 0.47887 1.00000 0.29694 0 0 179 CNTNAP5 0.22755 0.54294 0.08726 0 0 180 GYPC 0.47887 1.00000 0.29694 0 0 181 CXCR4 0.00036 0.00372 0.00000 1 1 182 CXCR4 0.00626 0.03882 0.00000 1 1 183 CXCR4 0.22755 0.54294 0.08726 1 0 184 CXCR4 1.00000 1.00000 0.29694 1 0 185 LRP1B 0.22755 0.54294 0.08726 0 0 186 LRP1B 1.00000 1.00000 0.29694 0 0 187 LRP1B 0.22755 0.54294 0.08726 0 0 188 ZEB2 0.22755 0.54294 0.08726 0 0 189 ZEB2 0.60686 0.54294 0.08726 0 0 190 KCNJ3 0.22755 0.54294 0.08726 0 0 191 DYNCII2 0.22755 0.54294 0.08726 0 0 192 KIAAI715 1.00000 0.34615 1.00000 0 0 193 CCDC141 1.00000 1.00000 0.29694 0 0 194 ZNF385B 0.22755 0.54294 0.08726 0 0 195 GULP1 1.00000 1.00000 0.29694 0 0 196 GULP1 1.00000 0.34615 1.00000 0 0 197 TMEFF2 1.00000 1.00000 0.29694 0 0 198 STK17B 0.34948 0.54966 0.02537 0 0 199 STK17B 0.22755 0.54294 0.08726 0 0 200 ABCA12 0.47887 1.00000 0.50663 0 0 201 XRCC5 1.00000 0.34615 1.00000 0 0 202 4-Mar-19 1.00000 0.34615 1.00000 0 0 203 CUL3 0.22755 0.54294 0.08726 0 0 204 CUL3 0.22755 0.54294 0.00726 0 0 205 EFHD1 0.47887 1.00000 0.29694 0 0 206 INPP5D 0.22755 1.00000 0.08726 0 0 207 AC093802.1 0.49735 0.34615 1.00000 0 0 208 OTOS 0.49735 1.00000 1.00000 0 0 209 CAV3 0.49735 1.00000 1.00000 0 0 210 RFTN1 0.49735 1.00000 1.00000 1 0 211 RFTN1 0.24603 0.34615 1.00000 1 0 212 RFTN1 0.10727 0.54966 0.07959 1 0 213 RFTN1 1.00000 1.00000 0.29694 1 0 214 RFTN1 0.22755 0.54294 0.08726 1 0 215 RFTN1 0.60686 0.54294 0.58408 1 0 216 RFTN1 0.08710 0.09269 0.00016 1 1 217 RFTN1 0.22755 0.54294 0.08726 1 0 218 ZNF385D 0.22755 0.54294 0.08726 0 0 219 TOP2B 0.22755 0.54294 0.08726 0 0 220 OSBPL10 0.22755 0.54294 0.08726 1 0 221 OSBPL10 0.10727 0.54966 0.02537 1 0 222 OSBPL10 0.10727 0.54966 0.02537 1 0 223 OSBPL10 0.05468 0.09031 0.00058 1 1 224 OSBPL10 0.22755 0.54294 0.08726 1 0 225 RBM5 0.22755 0.54294 0.08726 0 0 226 CACNA2D3 0.47887 1.00000 0.50663 0 0 227 ERC2 1.00000 0.34615 1.00000 0 0 228 FHIT 0.22755 0.54294 0.08726 0 0 229 FHIT 0.10727 0.54966 0.02537 0 0 230 FHIT 1.00000 0.34615 1.00000 0 0 231 FHIT 1.00000 1.00000 0.29694 0 0 232 FHIT 1.00000 1.00000 0.29694 0 0 233 FHIT 0.22755 0.54294 0.08726 0 0 234 FHIT 1.00000 1.00000 0.29694 0 0 235 FHIT 0.22755 0.54294 0.08726 0 0 236 FHIT 0.49735 1.00000 1.00000 0 0 237 FHIT 0.22755 0.54294 0.08726 0 0 238 FHIT 0.49735 1.00000 1.00000 0 0 239 FHIT 0.22755 0.54294 0.08726 0 0 240 FHIT 0.22755 0.54294 0.08726 0 0 241 FHIT 1.00000 1.00000 0.29694 0 0 242 FHIT 1.00990 1.00000 0.29694 0 0 243 FHIT 0.47887 1.00000 0.50663 0 0 244 FHIT 0.60686 0.54294 0.08726 0 0 245 FHIT 0.60686 0.54294 0.08726 0 0 246 FHIT 0.22755 0.54294 0.08726 0 0 247 FHIT 0.49735 1.00000 1.00000 0 0 248 FHIT 0.22755 0.54294 0.08726 0 0 249 FHIT 0.49735 1.00000 1.00000 0 0 250 FHIT 1.00000 1.90000 0.29694 0 0 251 FHIT 1.00000 1.00000 0.29694 0 0 252 FHIT 0.49735 1.00000 1.00000 0 0 253 FHIT 0.60686 0.54294 0.08726 0 0 254 FHIT 1.00000 1.00000 0.29694 0 0 255 FHIT 1.00000 1.00000 0.29694 0 0 256 FHIT 0.24603 1.00000 1.00000 0 0 257 FHIT 0.10727 0.54966 0.02537 0 0 258 FHIT 1.00000 1.00000 0.29694 0 0 259 FHIT 0.10727 0.54966 0.02537 0 0 260 FHIT 1.00000 1.00000 0.29694 0 0 261 FHIT 0.62100 1.00000 0.29694 0 0 262 FHIT 1.00000 1.00000 0.29694 0 0 263 FHIT 0.49735 1.00000 1.00000 0 0 264 FHIT 0.22755 0.54294 0.08726 0 0 265 FHIT 0.22755 0.54294 0.08726 0 0 266 FHIT 0.49735 1.00000 1.00000 0 0 267 FHIT 1.00000 0.34615 1.00000 0 0 268 FHIT 0.49735 1.00000 1.00000 0 0 269 FHIT 0.49735 1.00000 1.00000 0 0 270 EIF4E3 0.49735 1.00000 1.00000 0 0 271 ROBO1 1.00000 1.00000 0.29694 0 0 272 ROBO1 0.47887 1.00000 0.50663 0 0 273 GBE1 0.47887 1.00000 0.29694 0 0 274 CADM2 1.00000 0.34615 1.00000 0 0 275 CADM2 1.00000 1.00000 0.29694 0 0 276 CADM2 0.10727 0.54966 0.02537 0 0 277 CADM2 0.22755 0.54299 0.08726 0 0 278 CADM2 0.22755 0.54294 0.08726 0 0 279 CADM2 0.22755 0.54294 0.08726 0 0 280 CGGBP1 0.22755 0.54294 0.08726 0 0 281 NSUN3 0.22755 0.54294 0.08726 0 0 282 MTRNR2L12 0.47887 1.00000 0.29694 0 0 283 MTRNR2L12 0.22755 0.54294 0.08726 0 0 284 NFKBIZ 0.47887 1.00000 0.29694 0 0 285 GCSAM 0.10727 0.54966 0.02537 0 0 286 GCSAM 0.05016 0.29551 0.00730 0 1 287 PARP14 0.10727 1.00000 0.02537 0 0 288 SIAH2 0.22755 0.54294 0.08726 0 0 289 SIAH2 0.22755 0.54294 0.08726 0 0 290 SIAH2 1.00000 1.00000 0.29694 0 0 291 SI 0.49735 1.00000 1.00000 0 0 292 SI 0.22755 0.54294 0.08726 0 0 293 SI 0.22755 0.54294 0.08726 0 0 294 KLHL6 0.22755 0.54294 0.08726 0 0 295 KLHL6 0.60686 0.54294 0.08726 0 0 296 KLHL6 0.60686 0.54294 0.08726 0 0 297 KLHL6 0.67043 0.54966 0.36534 0 0 298 ADIPOQ 0.34948 0.54966 0.02537 0 0 299 ST6GAL1 0.02624 0.02564 0.00009 1 1 300 ST6GAL1 0.34948 0.54966 0.02537 1 0 301 ST6GAL1 0.10420 0.16101 0.00953 1 1 302 ST6GAL1 0.25970 1.00000 0.00953 1 1 303 ST6GAL1 0.22755 0.54294 0.08726 1 0 304 ST6GAL1 0.00001 0.00001 0.00000 1 1 305 ST6GAL1 0.10727 0.54966 0.42650 1 0 306 BCL6 0.22755 0.54294 0.08726 1 0 307 BCL6 0.22755 0.54294 0.08726 1 0 308 BCL6 0.31126 0.09031 0.00058 1 1 309 BCL6 0.00137 0.00001 0.00000 1 1 310 BCL6 0.00266 0.00000 0.00000 1 1 311 BCL6 0.00164 0.00000 0.00000 1 1 312 BCL6 0.00019 0.05349 0.00000 1 1 313 BCL6 0.10727 0.54966 0.02537 1 0 314 BCL6 0.22755 0.54294 0.08726 1 0 315 BCL6 0.49735 1.00000 1.00000 1 0 316 BCL6 0.34948 0.54966 0.02537 1 0 317 BCL6 0.22755 0.54294 0.08726 1 0 318 BCL6 0.23086 0.04825 0.00321 1 1 319 BCL6 0.08249 0.00372 0.00000 1 1 320 BCL6 0.10727 0.54966 0.02537 1 0 321 AC022498.1 0.60686 1.00000 0.08726 0 0 322 AC022498.1 1.00000 1.00000 1.00000 0 0 323 AC022498.1 1.00000 1.00000 0.29694 0 0 324 AC022498.1 0.05016 0.29551 0.02818 0 1 325 AC022498.1 0.10727 0.54966 0.02537 0 0 326 AC022498.1 0.22755 0.54294 0.08726 0 0 327 AC022498.1 0.19371 0.29551 0.00730 0 1 328 AC022498.1 0.00701 0.02564 0.00009 0 1 329 AC022498.1 0.06156 0.00936 0.00000 0 1 330 AC022498.1 0.00220 0.04825 0.00116 0 1 331 AC022498.1 0.22755 0.54294 0.08726 0 0 332 LPP 0.22755 0.54294 0.08726 0 0 333 LPP 1.00000 1.00000 0.29694 0 0 334 LPP 0.15270 0.09031 0.00311 0 1 335 LPP 0.04150 0.00372 0.00000 0 1 336 LPP 0.67043 0.54966 0.02537 0 0 337 ZNF595; 0.22755 0.54294 0.08726 0 0 ZNF718; 338 ZNF595; 0.34948 0.54966 0.02537 0 0 ZNF718; 339 ZNF595; 0.22755 0.54294 0.08726 0 0 ZNF718; 340 ZNF732 1.00000 0.11763 1.00000 0 1 341 ZNF141 0.22755 0.54294 0.08726 0 0 342 PIGG 0.49735 1.00000 1.00000 0 0 343 FAM193A 0.47887 1.00000 0.29694 0 0 344 STK32B 0.22755 0.54294 0.08726 0 0 345 SEL1L3 0.19371 0.29551 0.00730 0 1 346 SEL1L3 0.67043 0.54966 0.07959 0 0 347 SEL1L3 0.25970 0.16101 0.00208 0 1 348 PCDH7 1.00000 1.00000 0.29694 0 0 349 PCDH7 0.47887 1.00000 0.50663 0 0 350 PCDH7 0.22755 0.54294 0.08726 0 0 351 PCDH7 0.47887 1.00000 0.23694 0 0 352 RFC1 1.00000 1.00000 0.29694 0 0 353 PDS5A 0.49735 1.00000 1.00000 0 0 354 N4BP2 0.67043 0.54966 0.02537 0 0 355 N4BP2 1.00000 1.00000 0.29694 0 0 356 N4BP2 0.10420 0.16101 0.00208 0 1 357 N4BP2 1.00000 1.00000 0.29694 0 0 358 N4BP2 0.31326 0.09031 0.00058 0 1 359 N4BP2 0.10628 0.00895 0.00000 0 1 360 RHOH 0.11795 0.34825 0.00030 1 1 361 RHOH 0.31126 0.09031 0.00058 1 1 362 RHOH 0.60686 0.54294 0.08726 1 0 363 RHOH 0.22755 0.54294 0.08726 1 0 364 GNPDA2 0.22755 0.54294 0.08726 0 0 365 GABRA2 1.00000 1.00000 0.29694 0 0 366 LPHN3 0.22755 0.54294 0.08726 0 0 367 LPHN3 0.22755 0.54294 0.08726 0 0 368 LPHN3 0.22755 0.54294 0.08726 0 0 369 LPHN3 0.22755 0.54294 0.08726 0 0 370 LPHN3 0.22755 0.54294 0.08726 0 0 371 TECRL 1.00000 1.00000 0.29694 0 0 372 TECRL 1.00000 1.00000 0.29694 0 0 373 EPHA5 1.00000 1.00000 1.00000 0 0 374 EPHA5 0.22755 0.54294 0.08726 0 0 375 IGJ 0.62100 1.00000 0.29694 0 0 376 IGJ 0.49735 1.00000 1.00000 0 0 377 RASSF6 0.22755 0.54294 0.08726 0 0 378 RASSF6 0.47887 1.00000 0.50663 0 0 379 RASSF6 0.10727 0.54966 0.02537 0 0 380 RASSF6 0.01070 0.09031 0.00058 0 1 381 CCSER1 1.00000 1.00000 0.29694 0 0 382 CCSER1 0.22755 0.54294 0.08726 0 0 383 TIFA 0.22755 0.54294 0.08726 0 0 384 CAMK2D 0.22755 0.54294 0.08726 0 0 385 CAMK2D 0.10727 0.54966 0.02537 0 0 386 TRAMIL1 0.22755 0.54294 0.08726 0 0 387 BBS12 0.49735 1.00000 1.00000 0 0 388 ANKRD50 1.00000 1.00000 0.29694 0 0 389 FAT4 0.22755 0.54294 0.08726 0 0 390 PCDH10 0.49735 1.00000 1.00000 0 0 391 PCDH10 1.00000 1.00000 0.29694 0 0 392 PABPC4L 0.22755 0.54294 0.08726 0 0 393 PABPC4L 0.22755 0.54294 0.08726 0 0 394 PABPC4L 0.22755 0.54294 0.08726 0 0 395 PABPC4L 1.00000 1.00000 0.29694 0 0 396 PABPC4L 0.22755 0.54294 0.08726 0 0 397 PCDH18 1.00000 0.34615 1.00000 0 0 398 PCDH18 1.00000 1.00000 0.29694 0 0 399 NAA15 1.00000 1.00000 0.29694 0 0 400 LRBA 0.22755 0.54294 0.08726 0 0 401 I.RBA 0.49735 1.00000 1.00000 0 0 402 SH3D19 0.22755 1.00000 0.08726 0 0 403 CTSO 1.00000 1.00000 0.29694 0 0 404 1-Mar-19 0.49735 1.00000 1.00000 0 0 405 AGA 1.00000 0.34615 1.00000 0 0 406 AGA 0.22755 0.54294 0.08726 0 0 407 AGA 0.22755 0.54294 0.08726 0 0 408 TENM3 0.22755 0.54294 0.21104 0 0 409 TENM3 0.22755 0.54294 0.08726 0 0 410 TENM3 1.00000 1.00000 0.29694 0 0 411 AHRR 1.00000 0.34615 1.00000 0 0 412 IRX1 0.22755 0.54294 0.08726 0 0 413 BASP1 0.22755 0.54294 0.08726 0 0 414 BASP1 0.22755 0.54294 0.08726 0 0 415 CDH18 1.00000 0.34615 1.00000 0 0 416 CDH12 0.22755 0.54294 0.08726 0 0 417 CDH12 1.00000 1.00000 0.29694 0 0 418 CDH10 0.22755 0.54294 0.08726 0 0 419 CDH10 1.00000 1.00000 0.29694 0 0 420 CDH10 0.22755 0.54294 0.08726 0 0 421 CDH9 1.00000 1.00000 0.29691 0 0 422 CDH9 0.22755 0.54294 0.08726 0 0 423 CDH6 0.22755 0.54294 0.08726 0 0 424 CDH6 0.22755 0.54294 0.08726 0 0 425 CDH6 0.22755 0.54294 0.08726 0 0 426 CTD-2203A3.1 0.34948 0.54966 0.02537 0 0 427 EDIL3 0.22755 0.54294 0.08726 0 0 428 MEF2C 0.22755 0.54294 0.08726 0 0 429 MEF2C 1.00000 1.00000 0.29694 0 0 430 ARRDC3 0.49735 1.00000 1.00000 0 0 431 NUDT12 1.00000 1.00000 0.29694 0 0 432 ZNF608 0.49735 1.00000 1.00000 1 0 433 ZNF608 0.60686 0.54294 0.08726 1 0 434 ZNF608 0.60686 0.54294 0.08726 1 0 435 FBN2 1.00000 1.00000 0.29694 0 0 436 FBN2 0.49735 1.00000 1.00000 0 0 437 IRF1 0.02326 0.16101 0.00208 0 1 438 IRF1 0.22755 0.54294 0.08726 0 0 439 CD74 0.00701 0.02564 0.00001 1 1 440 CD74 1.00000 1.00000 0.29694 1 0 441 EBF1 0.47887 1.00000 0.29694 0 0 442 EBF1 0.22755 0.54294 0.08726 0 0 443 EBF1 0.10727 1.00000 0.02537 0 0 444 EBF1 0.22755 0.54294 0.08726 0 0 445 EBF1 0.05016 0.00730 000730 0 1 446 MAT2B 0.22755 0.54294 0.08726 0 0 447 MAT2B 0.47887 1.00000 0.29694 0 0 448 TENM2 1.00000 1.00000 0.29694 0 0 449 CPEB4 0.49735 1.00000 1.00000 0 0 450 MAML1 1.00000 1.00000 0.29694 0 0 451 FLT4 1.00000 1.00000 0.29694 0 0 452 IRF4 0.02326 0.16101 0.00208 1 1 453 IRF4 0.02326 0.16101 0.00208 1 1 454 CD83 0.00011 0.00013 0.00000 1 1 455 CD83 0.67043 0.54966 0.02537 1 0 456 NHLRC1 0.10727 1.00000 0.02537 0 0 457 RNF144B 0.49735 1.00000 1.00000 1 0 458 RNF144B 0.49735 1.00000 1.00000 1 0 459 ID4 0.22755 0.54294 0.00726 0 0 460 HDGFL1 1.00000 1.00000 0.29694 0 0 461 HIST1H3B 0.49735 1.00000 1.00000 1 0 462 HIST1H3B 0.49735 1.00000 1.00000 1 0 463 HIST1H3C 0.42627 0.29551 0.00730 1 1 464 HIST1H2BC 0.19371 0.29551 0.00730 1 1 465 HIST1H2AC; 0.02326 0.16101 0.00208 0 1 HIST1H2BC; 466 HIST1H2AC 1.00000 1.00000 0.29694 1 0 467 HIST1H1E 0.10420 0.16101 0.00208 1 1 468 HIST1H1E 0.60686 0.54294 0.08726 1 0 469 HIST1H2BG 0.22755 0.54294 0.08726 1 0 470 HIST1H1D 0.10727 0.54966 0.02537 0 0 471 HIST1H2AG 0.22755 0.54294 0.08726 1 0 472 HIST1H2AH; 0.19371 0.29551 0.00730 0 1 HIST1H2BK; 473 HIST1H4J 0.34948 0.54966 0.02537 0 0 474 HIST1H2AL 1.00000 1.00000 0.29694 1 0 475 HIST1H2AM 1.00000 0.54294 0.08726 1 0 476 HIST1H2BO 1.00000 1.00000 1.00000 1 0 477 LOC554223 1.00000 0.34615 1.00000 0 0 478 HLA-G 1.00000 1.00000 0.29694 0 0 479 HLA-A 0.10727 0.54966 0.02537 0 0 480 HLA-A 1.00000 1.00000 0.29694 0 0 481 HLA-B 0.60686 0.54294 0.08726 1 0 482 HLA-B 1.00000 0.34615 1.00000 1 0 483 TNF 0.22755 0.54294 0.08726 1 0 484 LTB 0.04150 0.00372 0.00000 1 1 485 LTB 0.10727 0.54966 0.02537 1 0 486 HLA-DRA 0.67043 0.51966 0.02537 0 0 487 HLA-DRB5 1.00000 0.11763 1.00000 0 1 488 HLA-DRB5 0.47887 1.00000 0.29694 0 0 489 HLA-DRB5 0.47887 1.00000 0.29694 0 0 490 HLA-DRB5 0.43235 1.00000 1.00000 0 0 491 HLA-DRB5 0.49735 1.00000 1.00000 0 0 492 HLA-DRB5 0.60686 0.54294 0.08726 0 0 493 HLA-DRB5 0.24603 1.00000 1.00000 0 0 494 HLA-DRB1 1.00000 1.00000 0.29694 0 0 495 HLA-DRB1 0.60686 0.54294 0.08726 0 0 496 HLA-DRB1 0.24603 1.00000 1.00000 0 0 497 HLA-DRB1 0.49735 1.00000 1.00000 0 0 498 HLA-DRB1 0.60686 0.54294 0.08726 0 0 499 HLA-DRB1 1.00000 0.27446 0.29694 0 1 500 HLA-DRB1 0.24603 0.34615 1.00000 0 0 501 HLA-DQA1 0.19371 0.65667 0.00730 0 1 502 HLA-DQB1 1.00000 1.00000 0.29694 0 0 503 HLA-DQB1 1.00000 0.17874 0.08726 0 1 504 HLA-DQB2 0.47887 0.27446 0.29694 0 1 505 HLA-DQB2 0.60686 0.60763 0.08726 0 1 506 HLA-DPB1 1.00000 1.00000 0.29694 0 0 507 HMGA1 0.22755 0.54294 0238726 0 0 508 PIM1 0.08249 0.00372 0.000- 00 1 1 509 PIM1 0.31126 0.09031 0.00058 1 1 510 PIM1 0.60686 0.54294 0.08726 1 0 511 PRIM2 1.00000 1.00000 0.29694 0 0 512 BAI3 1.00000 1.00000 0.29694 0 0 513 IMPG1 0.22755 0.54294 0.08726 0 0 514 BCKDHB 1.00000 1.00000 0.29694 0 0 515 AKIRIN2 1.00000 1.00000 0.29694 0 0 516 SPACA1 0.34948 0.54966 0.02537 0 0 517 CNR1 0.47887 1.00000 0.29694 0 0 518 RNGTT 0.60686 0.54294 0.08726 0 0 519 RNGTT 0.22755 0.54294 0.08726 0 0 520 RNGTT 0.10727 0.54966 0.02537 0 0 521 RNGTT 0.22755 0.54294 0.08726 0 0 522 RNGTT 0.22755 0.54294 0.08726 0 0 523 UBE2J1 0.05016 0.29551 0.00730 1 1 524 UBE2J1 0.22755 0.54294 0.08726 1 0 525 MAP3K7 0.60686 0.54294 0.08726 0 0 526 MAP3K7 0.19371 0.29551 0.00730 0 1 527 MAP3K7 0.00279 0.00011 0.00000 0 1 528 MAP3K7 0.04838 0.04825 0.00030 0 1 529 MAP3K7 0.22755 0.54294 0.58408 0 0 530 EPHA7 0.47887 1.00000 0.29694 0 0 531 PDSS2 1.00000 0.34615 1.00000 0 0 532 RFPL4B 1.00000 1.00000 0.29694 0 0 533 SLC35F1 1.00000 1.00000 0.29694 0 0 534 C6orf170 0.49735 1.00000 1.00000 0 0 535 C6orf170 0.22755 0.54294 0.08726 0 0 536 TRDN 0.47887 1.00000 0.50263 0 0 537 RSPO3 0.47887 1.00000 0.50663 0 0 538 EYA4 0.22755 0.34294 0.08726 0 0 539 SGK1 0.22755 0.54294 0.08726 1 0 540 SGK1 0.34948 0.54966 0.02537 1 0 541 SGK1 0.22755 0.54294 0.08726 1 0 542 SGK1 0.22755 0.54294 0.08726 1 0 543 SGK1 0.02233 0.01471 0.00000 1 1 544 SGK1 0.22755 0.54294 0.08726 1 0 545 NMBR 0.05016 0.29551 0.00730 0 1 546 SAMD5 0.47887 1.00000 0.29694 0 0 547 PLEKHG1 0.34948 0.54966 0.02537 0 0 548 EZR 0.34948 0.54966 0.15671 0 0 549 EZR 0.60686 0.54294 0.08726 0 0 550 EZR 0.60686 0.54294 0.08726 0 0 551 TAGAP 1.00000 1.00000 0.29694 0 0 552 TAGAP 0.22755 0.54294 0.08726 0 0 553 PLG 0.49735 0.74615 1.00000 0 0 554 PARK2 0.49735 0.74615 1.00000 0 0 555 PARK2 0.22755 0.54294 0.08726 0 0 556 C6orf118 0.22755 0.54294 0.08726 0 0 557 SMOC2 0.47887 1.00000 0.29694 0 0 558 AC110781.3 0.22755 0.54294 0.08726 0 0 559 MAD1L1 0.47887 1.00000 0.29694 0 0 560 MAD1L1 1.00000 1.00000 0.29694 0 0 561 ACTB 0.19371 0.29551 0.00730 1 1 562 ACTB 0.19371 0.29551 0.00730 1 1 563 ACTB 1.00000 1.00000 0.29694 1 0 564 NDUFA4 0.60686 0.54294 0.08726 0 0 565 ARL4A 0.47887 1.00000 0.29694 0 0 566 ETV1 0.49735 1.00000 1.00000 0 0 567 AGMO 0.49735 1.00000 1.00000 0 0 568 ISPD 1.00000 1.00000 0.29694 0 0 569 CREB5 0.47887 1.00000 0.29694 0 0 570 C7orf10 0.62100 1.00000 0.29694 0 0 571 IKZF1 0.19371 0.29551 0.00730 0 1 572 IKZF1 0.10727 0.54966 0.02537 0 0 573 POM121L12 0.49735 1.00000 1.00000 0 0 574 ZNF716 0.22755 0.54294 0.08726 0 0 575 AC006455.1 1.00000 1.00000 0.29694 0 0 576 WBSCR17 0.22755 0.54294 0.08726 0 0 577 CALN1 1.00000 1.00000 0.29694 0 0 578 GNAI1 1.00000 1.00000 0.29694 0 0 579 AC005008.2 0.22755 0.54294 0.08726 0 0 580 CACNA2D1 0.49735 1.00000 1.00000 0 0 581 SEMA34 0.47887 1.00000 0.29694 0 0 582 SEMA3D 0.22755 0.54294 0.08726 0 0 583 SEMA3D 0.47887 1.00000 0.29694 0 0 584 CROT 1.00000 1.00000 0.29694 0 0 585 CDK14 0.22755 0.54294 0.08726 0 0 586 CALCR 0.22755 0.54294 0.08726 0 0 587 BET1 1.00000 1.00000 0.29694 0 0 588 FBXL13 1.00000 0.34615 1.00000 0 0 589 CDHR3 1.00000 1.00000 0.29694 0 0 590 IMMP2L 0.22755 0.54294 0.08726 0 0 591 IMMP2L 0.22755 0.54294 0.08726 0 0 592 IMMP2L 1.00000 1.00000 0.29694 0 0 593 IMMP2L 1.00000 1.00000 0.29694 0 0 594 IMMP2L 0.22755 0.54294 0.08726 0 0 595 IMMP2L 0.22755 0.54294 0.08726 0 0 596 IMMP2L 0.22755 0.54294 0.08726 0 0 597 IMMP2L 0.10727 0.54966 0.02537 0 0 598 IMMP2L 0.22755 0.54294 0.08726 0 0 599 IMMP2L 0.10727 0.54966 0.02537 0 0 600 IMMP2L 0.22755 0.54294 0.08726 0 0 601 IMMP2L 0.22755 0.54294 0.08726 0 0 602 IMMP2L 0.22755 0.54294 0.08726 0 0 603 IMMP2L 1.00000 1.00000 0.29694 0 0 604 IMMP2L 0.10727 0.54966 0.02537 0 0 605 IMMP2L 0.60686 0.54294 0.08726 0 0 606 IMMP2L 0.60686 0.54294 0.08726 0 0 607 IMMP2L 0.60666 0.54294 0.08726 0 0 608 IMMP2L 1.00000 0.54294 0.08726 0 0 609 IMMP2L 0.10727 0.54966 0.02537 0 0 610 IMMP2L 0.22755 0.54294 0.08726 0 0 611 IMMP2L 0.22755 0.54294 0.08726 0 0 612 IMMP2L 0.60686 0.54294 0.08726 0 0 613 IMMP2L 0.49735 1.00000 1.00000 0 0 614 IMMP2L 0.22755 0.54294 0.08726 0 0 615 IMMP2L 0.60686 0.54294 0.08726 0 0 616 IMMP2L 0.22755 0.54294 0.08726 0 0 617 IMMP2L 0.02326 0.16101 0.00208 0 1 618 LRRN3 0.22755 0.54294 0.08726 0 0 619 LRRN3 0.67043 1.00000 0.02537 0 0 620 LRRN3 0.22755 0.54294 0.08726 0 0 621 LRRN3 0.05016 0.29551 0.00730 0 1 622 LRRN3 0.22755 0.54294 0.08726 0 0 623 LRRN3 0.22755 0.54294 0.08726 0 0 624 LRRN3 0.10727 0.54966 0.02537 0 0 625 LRRN3 1.00000 1.00000 0.29694 0 0 626 LRRN3 0.22755 0.54294 0.08726 0 0 627 LRRN3 1.00000 1.00000 0.29694 0 0 628 LRRN3 0.60686 0.54294 0.08726 0 0 629 LRRN3 1.00000 1.00000 0.29694 0 0 630 LRRN3 1.00000 1.00000 0.29694 0 0 631 LRRN3 1.00000 0.54294 0.08726 0 0 632 LRRN3 0.22755 0.54294 0.08726 0 0 633 LRRN3 0.60686 0.54294 0.08726 0 0 634 LRRN3 0.22755 0.54294 0.08726 0 0 635 LRRN3 0.22755 0.54294 0.08726 0 0 636 LRRN3 0.10727 0.54966 0.02537 0 0 637 LRRN3 0.22755 0.54294 0.08726 0 0 638 LRRN3 0.60686 0.54294 0.06726 0 0 639 LRRN3 0.10727 0.54966 0.02537 0 0 640 LRRN3 0.60686 0.54294 0.08726 0 0 641 LRRN3 1.00000 1.00000 0.29694 0 0 642 LRRN3 0.22755 0.54594 0.08726 0 0 643 LRRN3 0.10727 0.54966 0.02537 0 0 644 LRRN3 0.22755 0.54294 0.08726 0 0 645 LRRN3 1.00000 1.00000 0.29694 0 0 646 LRRN3 0.22755 0.54294 0.08726 0 0 647 LRRN3 0.22755 0.54294 0.08726 0 0 648 LRRN3 0.10727 0.54966 0.02537 0 0 649 LRRN3 0.22755 0.54294 0.08726 0 0 650 LRRN3 0.22755 0.54294 0.08726 0 0 651 LRRN3 1.00000 1.00000 0.29694 0 0 652 LRRN3 0.10727 0.54966 0.02537 0 0 653 LRRN3 0.22755 0.54294 0.08726 0 0 654 DOCK4 1.00000 0.34615 1.00000 0 0 655 KCND2 1.00000 1.00000 0.29694 0 0 656 PTPRZ1 1.00000 1.00000 0.5063 0 0 657 TMEM229A 0.22755 0.54294 0.08726 0 0 658 POT1 1.00000 1.00000 0.29694 0 0 659 CNTNAP2 0.22755 0.54294 0.08726 0 0 660 EZH2 0.24603 1.00000 1.00000 0 0 661 BI.ACE 0.49735 1.00000 1.00000 0 0 662 DNAJB6 1.00000 0.11763 1.00000 0 1 663 WDR60 1.00000 1.00000 0.29694 0 0 664 DLGAP2 1.00000 1.00000 0.29694 0 0 665 MCPH1 0.22755 0.54294 0.08726 0 0 666 MCPH1 0.49735 1.00000 1.00000 0 0 667 MFHAS1 0.60686 0.54294 0.08726 0 0 668 MFHAS1 0.22755 0.54294 0.08726 0 0 669 MFHAS1 0.22755 0.54294 0.08726 0 0 670 BLK 0.60686 0.54294 0.08726 0 0 671 SGCZ 1.00000 1.00000 0.29694 0 0 672 SGCZ 0.47887 1.00000 0.50663 0 0 673 MSR1 1.00000 1.00000 0.29694 0 0 674 MSR1 0.47887 1.00000 0.29694 0 0 675 CHMP7 1.00000 1.00000 0.29694 0 0 676 ADAM28 0.22755 0.54294 0.08726 0 0 677 KIF13B 1.00000 0.34615 1.00000 0 0 678 AC012215.1 0.22755 0.54294 0.08726 0 0 679 PLEKHA2 0.22755 0.54294 0.08726 0 0 680 LYPLA1 0.22755 0.54294 0.08726 0 0 681 TOX 1.00000 1.00000 0.29684 0 0 682 MYBL1 1.00000 1.00000 0.29694 0 0 683 ZFHX4 0.22755 0.54294 0.08726 0 0 684 PEX2 0.22755 0.54294 0.08726 0 0 685 RIPK2 0.22755 0.54294 0.08726 0 0 686 RUNXIT1 0.22755 0.54294 0.08726 0 0 687 FAM92A1 0.47887 1.00000 0.29694 0 0 688 SYBU 1.00000 1.00000 0.29694 0 0 689 TRIB1 1.00000 1.00000 0.29694 0 0 690 MYC 0.00099 0.00010 0.00003 1 1 691 MYC 0.02908 0.00000 0.00016 1 1 692 MYC 0.05468 0.00007 0.00058 1 1 693 MYC 0.10727 0.23165 0.02537 1 1 694 MYC 0.47887 0.27446 0.29694 1 1 695 FAM135B 0.47887 1.00000 0.29694 0 0 696 FAM135B 0.49735 1.00000 1.00000 0 0 697 TSNARE1 0.47887 1.00000 0.29694 0 0 698 CSorf31 0.22755 0.54294 0.08726 0 0 699 UHRF2 0.22755 0.54294 0.08726 0 0 700 UHRF2 1.00000 1.00000 0.29694 0 0 701 UHRF2 0.60686 0.54294 0.08726 0 0 702 PTPRD 0.49735 1.00000 1.00000 0 0 703 NFIB 0.22755 0.54294 0.08726 0 0 704 DMRTAI 0.22755 0.54294 0.08726 0 0 705 TUSC1 0.22755 0.54294 0.08726 0 0 706 LINGO2 1.00000 1.00000 0.29694 0 0 707 ACO1 1.00000 1.00000 0.29694 0 0 708 PAX5 0.47887 1.00000 0.50663 1 0 709 PAX5 1.00000 1.00000 0.29694 1 0 710 PAX5 0.67043 0.34966 0.02537 1 0 711 PAX5 0.14640 0.02564 0.00001 1 1 712 PAX5 0.10913 0.00107 0.00000 1 1 713 PAX5 0.60686 0.54294 0.08726 1 0 714 PAX5 0.34948 0.54966 0.02537 1 0 715 PAX5 0.47996 0.16101 0.00208 1 1 716 PAX5 1.00000 1.00000 0.29694 1 0 717 ZCCHC7 0.60686 0.54294 0.08726 0 0 718 ZCCHC7 0.22755 0.54294 0.08726 0 0 719 ZCCHC7 1.00000 0.54294 0.08726 0 0 720 ZCCHC7 0.67043 0.54966 0.02537 0 0 721 ZCCHC7 1.00000 1.00000 0.29694 0 0 722 ZCCHC7 0.34948 0.54966 0.02537 0 0 723 ZCCHC7 0.62100 1.00000 1.00000 0 0 724 ZCCHC7 0.60686 0.54294 0.08726 0 0 725 ZCCHC7 0.22755 0.54294 0.08726 0 0 726 ZCCHC7 0.38669 0.15803 0.00732 0 1 727 ZCCHC7 1.00000 1.00000 0.29694 0 0 728 ZCCHC7 0.42627 0.29551 0.00730 0 1 729 ZCCHC7 1.00000 0.29551 0.00730 0 1 730 ZCCHC7 0.60686 0.54294 0.08726 0 0 731 ZCCHC7 0.19371 0.29551 0.00730 0 1 732 GRHPR 0.10727 0.54966 0.02537 0 0 733 GRHPR 0.22755 0.54294 0.08726 0 0 734 GRHPR 0.22755 0.54294 0.08726 0 0 735 GRHPR 0.22755 0.54294 0.21104 0 0 736 GRHPR 1.00000 1.00000 0.29694 0 0 737 GRHPR 0.81382 0.02564 0.00001 0 1 738 GRHPR 1.00000 0.54294 0.21104 0 0 739 GRHPR 0.22755 0.54294 0.08726 0 0 740 GRHPR 0.10727 0.54966 0.02537 0 0 741 GRHPR 0.22755 0.54294 0.08726 0 0 742 AKAP2 0.19371 0.29551 0.00730 0 1 743 COL27A 1.00000 0.11763 1.00000 0 1 744 ASTN2 0.10727 0.54966 0.02537 0 0 745 DENND1A 1.00000 0.11763 1.00000 0 1 746 FAM102A 0.05016 0.29551 0.00730 1 1 747 FAM102A 0.42627 0.29551 0.00730 1 1 748 FNBP1 1.00000 1.00000 0.29694 0 0 749 FNBP1 0.22755 0.54294 0.08726 0 0 750 FNBP1 1.00000 1.00000 0.29694 0 0 751 FNBP1 1.00000 0.54294 0.08726 0 0 752 RAPGEF1 0.22755 0.54294 0.08726 0 0 753 UBAC1 0.60686 0.60763 0.08726 0 1 754 PKTRM1 0.49735 1.00000 1.00000 0 0 755 ASB13 0.60686 0.54294 0.08726 0 0 756 ASB13 0.47887 1.00900 0.50663 0 0 757 FAM171A1 0.47887 1.00000 0.29694 0 0 758 PLXDC2 0.47887 1.00000 0.50663 0 0 759 CREM 0.22755 0.54294 0.08726 0 0 760 PCDH15 0.49735 1.00000 1.00000 0 0 761 C10orf107 0.47887 1.00000 0.29694 0 0 762 ARID5B 0.34948 0.54966 0.02537 1 0 763 ARID5B 0.19371 0.29551 0.00730 1 1 764 ARID5B 0.60686 0.54294 0.08726 1 0 765 ARID5B 0.22755 0.54294 0.08726 1 0 766 ARID5B 0.49735 1.00000 1.00000 1 0 767 ARID5B 1.00000 1.00000 0.29694 1 0 768 ARID5B 0.49735 1.00000 1.00000 1 0 769 CTNNA3 0.47897 1.00000 0.50663 0 0 770 CTNNA3 0.49735 1.00000 1.00000 0 0 771 PIK3AP1 0.22755 0.54294 0.09726 0 0 772 SLC25A28 1.00000 1.00000 0.29694 0 0 773 SORCS1 0.22755 0.54294 0.08726 0 0 774 GPAM 0.47887 1.00000 0.29694 0 0 775 GPAM 0.22755 0.54294 0.08726 0 0 776 ABLIM1 0.10727 0.54966 0.02537 0 0 777 MCMBP 0.22755 0.54294 0.08726 0 0 778 TCERG1L 1.00000 1.00000 0.29694 0 0 779 INPP5A 0.47887 1.00000 0.29694 0 0 780 CHID1 0.22755 1.00000 0.08726 0 0 781 MUC5AC 0.47887 1.00000 0.29694 0 0 782 LUZP2 0.22755 0.54294 0.08726 0 0 783 LUZP2 0.22755 0.54294 0.08726 0 0 784 BBOX1 0.60686 1.00000 0.08726 0 0 785 METTL15 0.49735 1.00000 1.00000 0 0 786 KCNA4 0.22755 0.54294 0.08726 0 0 787 KCNA4 0.22755 0.54294 0.09726 0 0 788 LRRC4C 0.22755 0.54294 0.08726 0 0 789 LRRC4C 0.22755 0.54294 0.08726 0 0 790 LRRC4C 0.22755 0.54294 0.08726 0 0 791 LRRC4C 0.22755 0.54294 0.08726 0 0 792 API5 0.47887 1.00000 0.29694 0 0 793 SLC43A3 0.60676 0.54294 0.08726 0 0 794 MS4A1 0.10420 0.16101 0.00208 1 1 795 FRMD8 0.25970 0.16101 0.00208 0 1 796 FRMD8 0.02808 0.09269 0.00016 0 1 797 SCYL1 0.60686 0.54294 0.08726 0 0 798 SCYLI 0.00488 0.09269 0.00016 0 1 799 EED 0.22755 0.54294 0.08726 0 0 800 FAT3 0.22755 0.54294 0.08726 0 0 801 YAP1 0.49735 1.00000 1.00000 0 0 802 BIRC3 0.16270 0.00197 0.00000 1 1 803 BIRC3 0.05016 0.29551 0.00730 1 1 804 ELMOD1 0.47887 1.00000 0.29694 0 0 805 DDX10 1.00000 1.00000 0.29694 0 0 806 DDX10 1.00000 1.00000 0.29694 0 0 807 C11orf87 0.47887 1.00000 0.29694 0 0 808 POU2AF1 0.60686 0.54294 0.08726 1 0 809 POU2AF1 0.77363 0.09269 0.00337 1 1 810 CADM1 0.62100 1.00000 0.29694 0 0 811 CXCR5 0.22755 0.54294 0.08726 0 0 812 KIRREL3 1.00000 1.00000 0.29694 0 0 813 ETS1 0.34948 0.54966 0.02537 1 0 814 ETS1 0.01415 0.04825 0.00004 1 1 815 CD27 0.22755 0.54294 0.08726 0 0 816 AICDA 1.00000 1.00000 0.29694 0 0 817 AICDA 1.00000 0.54966 0.02537 0 0 818 AICDA 0.44431 0.54294 0.08726 0 1 819 AICDA 1.00000 1.00000 0.29694 0 0 820 CLEC2D 1.00000 1.00000 0.29694 0 0 821 ETV6 0.22755 0.54294 0.08726 1 0 822 ETV6 1.00000 1.00000 0.29694 1 0 823 HIST4H4 1.00000 1.00000 0.29694 1 0 824 LMO3 0.19735 1.00000 1.00000 0 0 825 SOX5 0.22755 0.54294 0.08726 0 0 826 C12orf77 0.22755 0.54294 0.08726 0 0 827 C12orf77 1.00000 1.00000 0.29694 0 0 828 C12orf77 0.10727 0.54966 0.02537 0 0 829 LRMP 0.47887 1.00000 0.50663 1 0 830 LRMP 0.02808 0.09269 0.00099 1 1 831 LRMP 0.01415 0.04825 0.000.30 1 1 832 LRMP 0.60686 0.54294 0.08726 1 0 833 IFLTD1 0.47887 1.00000 0.2964 0 0 834 CPNE8 0.22755 0.54294 0.08726 0 0 835 RPAP3 0.42627 0.65667 0.00730 0 1 836 STAT6 1.00000 1.00000 0.29694 0 0 837 MDM2 0.47887 1.00000 0.50663 0 0 838 PHLDA1 0.49735 1.00000 1.00000 0 0 839 SYT1 1.00000 0.54294 0.08726 0 0 840 CCDC59 1.00000 1.00000 0.29694 0 0 841 SLC6A15 0.49735 1.00000 1.00000 0 0 842 RASSF9 0.22755 0.54294 0.08726 0 0 843 RASSF9 0.22755 0.54294 0.08726 0 0 844 BTG1 0.15270 0.09031 0.00058 1 1 845 BTG1 0.10420 0.16101 0.00208 1 1 846 NTN4 0.47887 1.00000 0.29694 0 0 847 FAM222A 0.47887 1.00000 0.50663 0 0 848 PPTC7 1.0000 1.00000 0.29694 0 0 849 DTX1 0.05016 0.29551 0.00730 1 1 850 DTX1 0.01224 0.00730 0.00000 1 1 851 DTX1 0.11004 0.01471 0.00000 1 1 852 DTX1 0.14640 0.02564 0.00001 1 1 853 DTX1 0.02326 0.16101 0.00208 1 1 854 DTX1 0.22755 0.54294 0.08726 1 0 855 DTX1 0.22755 0.54294 0.08726 1 0 856 MED13L 0.49735 1.00000 1.00000 0 0 857 WDR66 0.22755 0.54294 0.08726 0 0 858 WDR66 0.19371 0.29551 0.00730 0 1 859 WDR66 0.49735 1.00000 1.00000 0 0 860 BCL7A 0.38669 0.04825 0.00030 1 1 861 BCL7A 0.00197 0.00003 0.00000 1 1 862 BCL7A 0.12879 0.00730 0.00000 1 1 863 BCL7A 0.10628 0.00013 0.00000 1 1 864 BCL7A 0.00186 0.00372 0.00000 1 1 865 BCL7A 0.14640 0.02564 0.00038 1 1 866 TMED2 1.00000 1.00000 0.29694 0 0 867 TMEM132C 0.49735 1.00000 1.00000 0 0 868 STX2 1.00000 0.27446 0.29694 0 1 869 GPR133 0.49735 1.00000 1.00000 0 0 870 ANKLE2 1.00000 1.00000 0.29694 0 0 871 ZDHHC20 0.22755 0.54294 0.08726 0 0 872 RXFP2 0.47887 1.00000 0.29694 0 0 873 NBEA 1.00000 1.00000 0.29694 0 0 874 TRPC4 0.47887 1.00000 0.29694 0 0 875 TRPC4 0.22755 0.54294 0.08726 0 0 876 FOXO1 0.22755 0.54294 0.08726 1 0 877 FOXO1 0.22755 1.00000 0.08726 1 0 878 KIAA0226L 0.22755 0.54294 0.08726 0 0 879 KIAA0226L 0.22755 0.54294 0.08726 0 0 880 KIAA0226L 0.15270 0.09031 0.00058 0 1 881 KIAA0226L 1.00000 1.00000 0.29694 0 0 882 KIAA0226L 1.00000 1.00000 0.29694 0 0 883 OLFM4 0.22755 0.54294 0.08726 0 0 884 OLFM4 0.22755 0.54294 0.08726 0 0 885 OLFM4 0.22755 0.54294 0.08726 0 0 886 PRR20A; 0.22755 0.54294 0.08726 0 0 PRR20DPRR20BPRR20E; 887 TDRD3 0.47887 1.00000 0.29694 0 0 888 PCDH20 0.49735 1.00000 1.00000 0 0 889 PCDH20 0.22755 0.54294 0.08726 0 0 890 AL445989.1 0.47887 1.00000 0.29694 0 0 891 AL445989.1 0.47887 1.00000 0.29694 0 0 892 AL445989.1 1.00000 1.00000 0.29694 0 0 893 PCDH9 0.22755 0.54294 0.08726 0 0 894 PCDH9 0.49735 1.00000 1.00000 0 0 895 KLHL1 0.60686 0.54294 0.08726 0 0 896 KLHL1 0.47887 1.00000 1.00000 0 0 897 KLF12 0.22755 0.54294 0.08726 0 0 898 TBC1D4 0.10420 0.16101 0.00208 0 1 899 TBC1D4 0.04838 0.04825 0.00004 0 1 900 SLITRK1 0.22755 0.54294 0.08726 0 0 901 SLITRK1 1.00000 1.00000 0.29694 0 0 902 SLITRK5 1.00000 1.00000 0.29694 0 0 903 GPC5 0.49735 1.00000 1.00000 0 0 904 DAOA 1.00000 1.00000 0.29694 0 0 905 RASA3 1.00000 1.00000 0.29694 0 0 906 RASA3 1.00000 0.34615 1.00000 0 0 907 TRAJ56 0.22755 0.54294 0.08726 0 0 908 TRAJ56 0.10727 0.54966 0.02537 0 0 909 TRAJ54 0.22755 0.54294 0.08736 0 0 910 TRAJ33 1.00000 1.00000 0.29694 0 0 911 NOVA1 0.22755 0.54294 0.08726 0 0 912 FOXG1 0.49735 1.00000 1.00000 0 0 913 RPS29 0.24603 1.00000 1.00000 0 0 914 CDKL1 0.22755 0.54294 0.08726 0 0 915 CDKN3 0.49735 1.00000 1.00000 0 0 916 GCH1 0.22755 0.54294 0.08726 0 0 917 DAAM1 0.22755 0.54294 0.08726 0 0 918 KCNH5 1.00000 1.00000 0.29694 0 0 919 SGPP1 1.00000 1.00000 0.29694 0 0 920 ZPP36L1 0.00186 0.00372 0.00000 1 1 921 ZEP36L1 0.00244 0.00024 0.00000 1 1 922 ADCK1 0.22755 0.54294 0.08726 0 0 923 GTF2A1 0.47887 1.00000 0.29694 0 0 924 FLRT2 0.47887 1.00000 0.50663 0 0 925 CCDC88C 1.00000 1.00000 0.29694 0 0 926 SERPINA9 0.60686 0.54294 0.21104 1 0 927 SERPINA9 0.01415 0.04825 0.00004 1 1 928 TCL1A 0.79702 0.15881 0.01566 1 1 929 TCL1A 0.52007 0.41714 0.06858 1 1 930 AL117190.3 0.49735 1.00000 1.00000 0 0 931 PPP2R5C 1.00000 1.00000 0.29694 0 0 932 CRIP1 0.34948 0.54966 0.02537 0 0 933 IGHA2 1.00000 1.00000 0.29694 0 0 934 IGHA2 0.19468 0.09269 0.00855 0 1 935 IGHA2 0.47887 1.00000 0.0663 0 0 936 IGHA2 0.60686 0.54294 0.08726 0 0 937 IGHA2 0.08710 0.49207 0.00016 0 1 938 IGHA2 0.25970 1.00000 0.00953 0 1 939 IGHA2 0.05016 0.29551 0.00730 0 1 940 IGHA2 0.22755 0.54294 0.08726 0 0 941 IGHE 0.05016 0.29551 0.00730 0 1 942 IGHE 0.34948 0.54966 0.02537 0 0 943 IGHE 0.08710 0.09269 0.00016 0 1 944 IGHE 1.00000 0.00197 0.00000 0 1 945 IGHE 0.75773 0.09031 0.00058 0 1 946 IGHE 1.00000 0.16101 0.00208 0 1 947 IGHE 0.60686 0.54294 0.08726 0 0 948 IGHG4 1.00000 1.00000 0.29694 0 0 949 IGHG4 0.22755 0.54294 0.08726 0 0 950 IGHG4 0.01393 0.01404 0.00003 0 1 951 IGHG4 0.77363 0.09269 0.00016 0 1 952 IGHG2 0.10420 0.16101 0.00208 0 1 953 IGHG2 1.00000 1.00000 0.29694 0 0 954 IGHG2 0.70749 0.00011 0.00000 0 1 955 IGHG2 0.16121 0.00002 0.00000 0 1 956 IGHG2 0.02111 0.00013 0.00000 0 1 957 IGHA1 0.22755 0.54294 0.08726 0 0 958 IGHA1 1.00000 1.00000 0.50663 0 0 959 IGHA1 1.00000 1.00000 0.50663 0 0 960 IGHA1 1.00000 1.00000 0.29694 0 0 961 IGHA1 1.00000 1.00000 021104 0 0 962 IGHA1 0.22755 0.54294 0.21104 0 0 963 IGHA1 0.19371 0.65667 0.02818 0 1 964 IGHA1 0.55139 0.74810 0.04551 0 1 965 IGHA1 0.42627 0.29551 0.20027 0 1 966 IGHA1 0.19371 0.29551 0.02818 0 1 967 IGHG1 0.08710 0.09269 0.00016 0 1 968 IGHG1 0.23086 0.04825 0.00030 0 1 969 IGHG1 0.38669 0.04825 0.00004 0 1 970 IGHG1 0.20587 0.00098 0.00025 0 1 971 IGHG1 0.71144 0.00070 0.00035 0 1 972 IGHG1 0.04243 0.00034 0.00000 0 1 973 IGHG1 0.00044 0.01404 0.00000 0 1 974 IGHG3 0.01070 0.09031 0.00328 0 1 975 IGHG3 0.00370 0.00730 0.00000 0 1 976 IGHG3 0.27339 0.04910 0.00349 0 1 977 IGHG3 0.25971 0.00034 0.00136 0 1 978 IGHG3 0.03144 0.00107 0.00000 0 1 979 IGHG3 0.34948 0.54966 0.02537 0 0 980 IGHM 0.05016 0.29551 0.00320 0 1 981 IGHM 0.00556 0.00107 0.00000 0 1 982 IGHM 0.29797 0.02782 0.00040 0 1 983 IGHM 0.44266 0.80827 0.71834 0 1 984 IGHM 0.28848 0.00006 0.44111 0 1 985 IGHJ6 1.00000 1.00000 0.00001 0 1 986 IGHJ6 0.76698 0.00000 0.00000 0 1 987 IGHJ6 0.32171 0.00000 0.00000 0 1 988 IGHJ6 0.38669 0.03086 0.00000 0 1 989 IGHJ3; IGHJ4; 0.39187 0.29080 0.00017 0 1 IGHJ5; 990 IGHD7-27; 0.37403 1.00000 0.15671 0 0 IGHJ1; IGHJ2; 991 IGHD7-27 1.00000 0.34615 1.00000 0 0 992 IGHD4-23 0.22755 0.54294 0.21104 0 0 993 IGHD3-22 0.22755 0.54294 0.08726 0 0 994 IGHD2-21 0.22755 0.54294 0.21304 0 0 995 IGHD2-21 0.47887 1.00000 0.50663 0 0 996 IGHD2-21 0.10727 0.54966 0.02537 0 0 997 IGHD1-20; 0.05016 0.65667 0.00730 0 1 IGHD6-19; 998 IGHD5-18 0.22755 0.54294 0.21104 0 0 999 IGHD3-16 1.00000 0.34615 1.00000 0 0 1000 IGHD2-15 0.22755 0.54294 0.08726 0 0 1001 IGHD6-13 0.22755 0.54294 0.08726 0 0 1002 IGHD3-10; 0.34948 0.54966 0.15671 0 0 IGHD3-9; 1003 IGHD3-9 0.60686 0.54294 0.58408 0 0 1004 IGHD2-8 0.47887 1.00000 0.50663 0 0 1005 IGHD1-7 0.47887 1.00000 1.00000 0 0 1006 IGHD6-6 0.47887 1.00000 1.00000 0 0 1007 IGHD3-3 1.00000 1.00000 0.52529 0 0 1008 IGHD2-2 1.00000 1.00000 0.52529 0 0 1009 IGHD2-2 0.34948 0.54966 0.72719 0 0 1010 IGHD2-2 0.34948 0.54966 0.02537 0 0 1011 IGHD1-1 0.34948 0.54966 0.15671 0 0 1012 IGHD1-1 0.60686 0.54294 0.08726 0 0 1013 KIAA0125 0.60606 0.54294 0.08726 0 0 1014 IGHV6-1 1.00000 1.00000 0.50663 0 0 1015 IGHV6-1 1.00000 1.00000 0.50663 0 0 1016 IGHV6-1 0.47887 1.00000 0.50663 0 0 1017 IGHV1-2 0.22755 0.54294 0.21104 0 0 1018 IGHV1-2 0.10727 0.54966 0.07959 0 0 1019 IGHV1-2 0.22755 0.54294 0.08726 0 0 1020 IGHV2-5 1.00000 1.00000 0.55662 0 0 1021 IGHV3-7 0.12104 0.34615 0.18298 0 1 1022 IGHV3-7 0.49735 1.00000 1.00000 0 0 1023 IGHV1-8 0.47887 1.00000 0.67240 0 0 1024 IGHV3-9 0.60686 0.54294 0.21104 0 0 1025 IGHV3-11 0.44431 0.54294 0.63492 0 1 1026 IGHV3-11 1.00000 0.54294 0.21104 0 0 1027 IGHV3-11 1.00000 1.00000 0.29694 0 0 1028 IGHV3-11 1.00000 1.00000 0.29694 0 0 1029 IGHV3-15 0.22755 0.60763 0.58408 0 1 1030 IGHV1-18 0.47887 1.00000 1.00000 0 0 1031 IGHV1-18 0.47887 1.00000 1.00000 0 0 1032 IGHV3-21 1.00000 0.54294 0.58408 0 0 1033 IGHV3-21 0.62300 1.00000 0.50663 0 0 1034 IGHV3-23 0.61250 1.00000 0.42238 0 1 1035 IGHV3-23 1.00000 0.41714 0.02173 0 1 1036 IGHV1-24 1.00000 1.00000 0.50663 0 0 1037 IGHV2-26 0.47887 0.27446 0.29694 0 1 1038 IGHV2-26 1.00000 0.11763 1.00000 0 1 1039 IGHV3-30 0.47887 0.27446 0.50663 0 1 1040 IGHV4-31 0.22755 0.52294 0.21104 0 0 1041 IGHV4-31 0.34948 0.54966 0.07959 0 0 1042 IGHV4-31 0.47887 1.00000 0.50663 0 0 1043 IGHV3-33 0.67043 0.54966 0.15671. 0 0 1044 IGHV3-33 0.10420 0.16101 0.00953 0 1 1045 IGHV3-33 0.22755 0.54294 0.08726 0 0 1046 IGHV4-34 0.81354 1.00000 0.00804 0 1 1047 IGHV4-34 0.80514 0.15803 0.07447 0 1 1048 IGHV4-39 0.62100 0.27446 0.50663 0 1 1049 IGHV4-39 1.00000 1.00000 0.15671 0 0 1050 IGHV1-46 0.47887 0.27416 0.29694 0 1 1051 IGHV3-48 0.59201 0.41714 0.00949 0 1 1052 IGHV3-48 0.49735 1.00000 1.00000 0 0 1053 IGHV5-51 1.00000 0.34615 1.00000 0 0 1054 IGHV5-51 0.60686 0.54294 0.21104 0 0 1055 IGHV3-53 1.00000 0.34615 1.00000 0 0 1056 IGHV3-53 0.67043 0.54966 0.15671 0 0 1057 IGHV4-59 1.00000 0.54966 0.07959 0 1 1058 IGHV4-59 1.00000 0.54294 0.21104 0 0 1059 IGHV4-59 0.47887 1.00000 0.50663 0 0 1060 IGHV3-64 0.22755 0.54294 0.08726 0 0 1061 IGHV3-64 0.22755 0.54294 0.08726 0 0 1062 IGHV1-69 0.00346 0.04910 0.00442 0 1 1063 IGHV1-69 0.00279 0.00075 0.00004 0 1 1064 IGHV2-70 0.04838 0.15803 0.00030 0 1 1065 IGHV2-70 0.67043 0.74966 0.02537 0 0 1066 IGHV2-70 0.03781 0.00002 0.00001 0 1 1067 IGHV2-70 0.60350 0.00034 0.00206 0 1 1068 IGHV2-70 0.22755 0.54294 0.21304 0 0 1069 IGHV3-72 0.47887 1.00000 1.00000 0 0 1070 IGHV3-74 0.47887 1.00000 1.00000 0 0 1071 IGHV3-74 0.25970 0.16101 0.02559 0 1 1072 IGHV3-74 0.05016 0.29551 0.00730 0 1 1073 IGHV3-74 0.22775 0.54294 0.08726 0 0 1074 IGHV7-81 0.34948 0.54966 0.02537 0 0 1075 IGHV7-81 1.00000 1.00000 0.29694 0 0 1076 IGHV7-81 0.00021 0.00098 0.00000 0 1 1077 B2M 0.10727 0.54966 0.02537 0 0 1078 B2M 0.10727 0.54966 0.02537 0 0 1079 SI.C30A4 1.00000 1.00000 0.29694 0 0 1080 MYO1E 1.00000 0.54966 0.02537 0 0 1081 PARP16 1.00000 0.34615 1.00000 0 0 1082 TBC1D2B 1.00000 0.34615 1.00000 0 0 1083 CPEB1 0.22755 0.54294 0.08726 0 0 1084 AKAP13 0.10727 0.54966 0.02537 0 0 1085 AKAP13 0.60686 0.54294 0.08726 0 0 1086 AKAP13 0.05016 0.29551 0.00730 0 1 1087 AXIN1 1.00000 1.00000 0.29694 0 0 1088 CREBBP 1.00000 1.00000 0.29694 0 0 1089 CHTA 0.02233 0.01471 0.00000 1 1 1090 CHTA 0.08249 0.00372 0.00000 1 1 1091 CHTA 0.31342 0.01471 0.00000 1 1 1092 CHTA 0.05016 0.29551 0.00730 1 1 1093 SOCS1 0.00186 0.00372 0.00000 1 1 1094 SOCS1 0.00179 0.00107 0.00000 1 1 1095 DNAH3 1.00000 1.00000 0.29694 0 0 1096 CTD-3203P2.2 1.00000 0.54294 0.08726 0 0 1097 CTD-3203P2.2 0.31126 0.09031 0.00028 0 1 1098 IL4R 0.22755 0.54294 0.08726 0 0 1099 IL21R 0.22755 0.54294 0.08726 0 0 1100 61E3.4 0.22755 0.54294 0.08776 0 0 1101 ZNF267 1.00000 1.00000 0.29694 0 0 1102 C16orf87 1.00000 1.00000 0.29694 0 0 1103 CYLD 1.00000 1.00000 0.29694 0 0 1104 CDH11 0.60686 0.54294 0.08726 0 0 1105 WWOX 0.49735 1.00000 1.00000 0 0 1106 WWOX 1.00000 1.00000 0.29694 0 0 1107 WWOX 1.00000 1.00000 0.29694 0 0 1108 WWOX 0.49735 1.00000 1.00000 0 0 1109 MAF 1.00000 1.00000 0.29694 0 0 1110 PLCG2 0.22755 0.54294 0.08726 0 0 1111 IRF8 0.42627 0.29551 0.00730 1 1 1112 IRF8 0.03144 0.00107 0.00000 1 1 1113 IRF8 1.00000 1.00000 0.50663 1 0 1114 IRF8 0.22755 0.54294 0.08726 1 0 1115 ZNF469 1.00000 1.00000 0.29694 0 0 1116 P2RX5; P2RX5- 0.60686 0.54294 0.08726 0 0 TAX1BP3P2RX5; 1117 SMCR9 0.22755 0.54294 0.08726 0 0 1118 MAP2K3 0.62100 1.00000 0.29694 0 0 1119 EVI2A 0.60686 0.54294 0.08726 0 0 1120 IKZF3 0.60686 0.54294 0.08726 0 0 1121 PLEKHM1 0.22755 0.54294 0.08726 0 0 1122 BZRAP1 0.42627 0.29551 0.02818 0 1 1123 BZRAP1 0.00005 0.00024 0.00000 0 1 1124 VMP1 0.60686 0.54294 0.08726 1 0 1125 VMP1 0.22755 0.54294 0.08726 1 0 1126 GNA13 0.22755 0.54294 0.08726 0 0 1127 CD79B 0.34948 0.54966 0.02537 0 0 1128 GNA13 1.00000 1.00000 0.29694 0 0 1129 PITPNC1 0.22755 0.54294 0.08726 0 0 1130 AC007461.1 1.00000 1.00000 0.29694 0 0 1131 SOX9 1.00000 0.34615 1.00000 0 0 1132 SRSF2 0.49735 1.00000 1.00000 0 0 1133 9-Sep-19 0.10727 0.54966 0.02537 0 0 1134 9-Sep-19 0.10727 0.54966 0.02537 0 0 1135 CYTH1 0.49735 1.00000 1.00000 0 0 1136 B3GNTL1 0.22755 0.54294 0.08726 0 0 1137 B3GNTL1 1.00000 1.00000 0.29694 0 0 1138 SMCHD1 0.22755 0.54294 0.08726 0 0 1139 DLGAP1 1.00000 1.00000 0.29694 0 0 1140 ANKRD62 0.24603 1.00000 1.00000 0 0 1141 DSC3 0.22755 0.54294 0.08726 0 0 1142 DSC3 0.22755 0.54294 0.08726 0 0 1143 AC012123.1; 0.49735 1.00000 1.00000 0 0 KLHL14; 1144 CELF4 0.22755 0.54294 0.08726 0 0 1145 PIK3C3 1.00000 1.00000 0.29694 0 0 1146 PIK3C3 1.00000 0.34615 1.00000 0 0 1147 SETBP1 1.00000 0.34615 1.00000 0 0 1148 C18orf54 0.22755 0.54294 0.08726 0 0 1149 RAB27B 1.00000 1.00000 0.29694 0 0 1150 TCF4 0.22755 0.54294 0.08726 0 0 1151 WDR7 0.49735 1.00000 1.00000 0 0 1152 BCL2 0.22755 0.54294 0.08726 1 0 1153 BCI.2 1.00000 0.16101 0.00208 1 1 1154 BCL2 1.00000 0.02564 0.00009 1 1 1155 BCL2 0.42627 0.29551 0.00730 1 1 1156 BCL2 0.22755 0.54294 0.08726 1 0 1157 BCL2 0.67043 0.54966 0.02537 1 0 1158 BCL2 0.22755 0.54294 0.08726 1 0 1159 BCL2 1.00000 1.00000 0.29694 1 0 1160 BCL2 0.67043 0.54966 0.02537 1 0 1161 BCL2 0.67043 0.54966 0.02537 1 0 1162 BCL2 0.36833 1 00000 0.29694 1 1 1163 BCL2 1.00000 0.29551 0.02818 1 1 1164 BCL2 0.00034 0.00730 0.00001 1 1 1165 BCL2 0.00000 0.00307 0.00000 1 1 1166 BCL2 0.00000 0.00098 0.00000 1 1 1167 BCL2 0.00019 0.00372 0.00001 1 1 1168 BCL2 0.00001 0.00107 0.00000 1 1 1169 SERPNB8 1.00000 1.00000 0.29694 0 0 1170 CDH7 0.22755 0.54294 0.08726 0 0 1171 CDH7 0.47887 1.00000 0.29694 0 0 1172 CDH19 0.22755 0.54294 0.08726 0 0 1173 CDH19 0.22755 0.54294 0.08726 0 0 1174 TMX3 0.49735 1.00000 1.00000 0 0 1175 TMX3 1.00000 1.00000 0.29694 0 0 1176 NETO1 1.00000 1.00000 0.29694 0 0 1177 ZNF516 1.00000 1.00000 0.29694 0 0 1178 SALL3 0.60686 0.54294 0.08726 0 0 1179 SALL3 1.00000 1.00000 0.29694 0 0 1180 SALL3 1.00000 1.00000 0.29694 0 0 1181 TCF3 1.00000 0.11763 1.00000 0 1 1182 GADD45B 0.22755 0.54294 0.08726 1 0 1183 DNMT1 0.05016 0.29551 0.00730 0 1 1184 DNMT1 0.10727 0.54966 0.02537 0 0 1185 SIPR2 1.00000 1.00000 0.29694 1 0 1186 SIPR2 0.11795 0.04825 0.00004 1 1 1187 SIPR2 0.01013 0.00197 0.00000 1 1 1188 CYP4F11 0.47887 1.00000 0.29694 0 0 1189 KLF2 0.60686 0.54294 0.08726 1 0 1190 ZNF626 0.47887 1.00000 0.50663 0 0 1191 ZNF85 1.00000 1.00000 0.29694 0 0 1192 ZNF85 0.22755 0.54294 0.05726 0 0 1193 ZNF675 1.00000 1.00000 0.29694 0 0 1194 UQCRFS1 0.22755 0.54294 0.08726 0 0 1195 PLAUR 0.22755 0.54294 0.08726 0 0 1196 IL4I1 0.22755 0.54294 0.08726 0 0 1197 ZNF321P; 1.00000 1.00000 0.29694 0 0 ZNF816; ZNF816- ZNF321PZNF321PZNF816- ZNF321P 1198 MACROD2 1.00000 0.34615 1.00000 0 0 1199 NAPB 1.00000 0.11763 1.00000 0 1 1200 CST5 0.49735 1.00000 1.00000 0 0 1201 NCOA3 0.19371 0.29551 0.00730 1 1 1202 PTPN1 0.60686 0.54294 0.08726 0 0 1203 KCNG1 0.22755 0.54294 0.08726 0 0 1204 SLC17A9 0.49735 1.00000 1.00000 0 0 1205 NCAM2 0.22755 0.54294 0.08726 0 0 1206 NCAM2 0.22755 0.54294 0.08726 0 0 1207 MRPL39 0.22755 0.54294 0.08726 0 0 1208 MRPL39 1.00000 1.00000 0.29694 0 0 1209 SMIM11 0.49735 1.00000 1.00000 0 0 1210 DYRK1A 0.49735 1.00000 1.00000 0 0 1211 PRDM15 0.22755 0.54294 0.08726 0 0 1212 CRYAA 0.49735 1.00000 1.00000 0 0 1213 AGPAT3 0.22755 0.54294 0.08726 0 0 1214 KRTAP10-10 1.00000 1.00000 0.29694 0 0 1215 DGCR2 0.49735 1.00000 1.00000 0 0 1216 RTN4R 0.60686 0.54294 0.08726 0 0 1217 FAM230A 0.22755 0.54294 0.08726 0 0 1218 SDF2L1 0.47887 1.00000 0.29694 0 0 1219 IGLV4-69 1.00000 0.54294 0.08726 0 0 1220 IGLV4-69 0.72064 0.54966 0.15671 0 1 1221 IGLV4-69 1.00000 1.00000 1.00000 0 0 1222 IGLV4-69 0.44431 1.00000 1.00000 0 1 1223 IGLV8-61 1.00000 1.00000 1.00000 0 0 1224 IGLV8-61 1.00000 1.00000 1.00000 0 0 1225 IGLV4-60 0.36833 1.00000 1.00000 0 1 1226 IGLV4-60 1.00000 1.00000 0.55062 0 0 1227 IGLV6-57 1.00000 1.00000 0.07959 0 1 1228 IGLV10-54 1.00000 1.00000 0.50963 0 0 1229 IGLV1-51 0.47887 1.00000 0.29694 0 0 1230 IGLV1-51 1.00000 0.11840 1.00000 0 1 1231 IGLV5-48 0.34948 1.00000 0.07959 0 0 1232 IGLV1-47 0.31126 1.00000 0.00949 0 1 1233 IGVL7-46 1.00000 1.00000 0.50663 0 0 1234 IGLV5-46 0.31126 0.41714 0.00949 0 1 1235 IGLV5-45 1.00000 0.29551 0.02818 0 1 1236 IGLV5-45 0.22755 0.54294 0.21104 0 0 1237 IGLV1-44 1.00000 0.65667 0.48819 0 1 1238 IGLV7-43 0.42627 0.29551 0.02818 0 1 1239 IGLV1-40 0.60686 1.00000 0.21104 0 0 1240 IGLV1-40 0.67043 1.00000 0.07959 0 1 1241 IGLV1-40 0.72064 0.23165 0.07959 0 1 1242 IGLV3-25 0.47887 1.00000 0.50663 0 0 1243 IGLV3-25 0.79702 0.15881 0.11274 0 1 1244 IGLV2-23 1.00000 1.00000 0.29694 0 0 1245 IGLV2-23 0.49735 1.00000 1.00000 0 0 1246 IGLV2-23 0.35266 0.09269 0.12716 0 1 1247 IGLV2-23 0.10727 0.54966 0.07959 0 0 1248 IGLV3-21 0.19371 0.65667 1.00000 0 1 1249 IGLV3-19 0.47996 0.16101 0.00208 0 1 1250 IGLV3-16 0.70990 0.29551 0.00730 0 1 1251 IGLV2-14 1.00000 0.54966 0.36534 0 1 1252 IGLV2-14 1.00000 0.66188 0.16714 0 1 1253 IGLV3-12 1.00000 1.00000 0.29694 0 0 1254 IGLV2-11 0.60686 0.54294 0.08726 0 0 1255 IGLV3-10 0.25970 0.16101 0.05242 0 1 1256 IGLV3-9 1.00000 1.00000 1.00000 0 0 1257 IGLV3-9 1.00000 1.00000 1.00000 0 0 1258 IOLV2-8 0.24603 1.00000 1.00009 0 0 1259 IGLV4-3 0.31126 0.09031 0.00311 0 1 1260 IGLV4-3 0.47887 1.00000 0.50663 0 0 1261 IGLV4-3 0.17231 0.01404 0.00108 0 1 1262 IGLV4-3 0.01424 0.00107 0.00002 0 1 1263 IGLV4-3 0.22755 0.54294 0.08726 0 0 1264 IGLV4-3 0.70990 1.00000 0.00730 0 1 1265 IGLV4-3 1.00000 1.00000 0.29694 0 0 1266 IGLV4-3 0.22755 0.54294 0.08726 0 0 1267 IGLV4-3 0.22755 0.54294 0.08726 0 0 1268 IGLV4-3 0.15270 0.09031 0.00058 0 1 1269 IGLV4-3 0.25970 0.16101 0.00208 0 1 1270 IGLV3-1 0.10727 0.54966 0.02537 0 0 1271 IGLV3-1 0.05016 0.29551 0.00730 0 1 1272 IGLV3-1 0.00342 0.01404 0.00003 0 1 1273 IGLV3-1 0.23940 0.00000 0.00000 0 1 1274 IGLV3-1 0.04838 0.04825 0.00004 0 1 1275 IGLV3-1 0.22755 0.54294 0.08726 0 0 1276 IGLL5 0.07371 0.00001 0.00000 0 1 1277 IGLL5 0.00152 0.00070 0.00000 0 1 1278 IGLL5 0.11795 0.04825 0.00004 0 1 1279 IGLL5 0.12719 0.00007 0.00000 0 1 1280 IGLL5 0.12719 0.00017 0.00000 0 1 1281 IGLL5 0.00075 0.00000 0.00000 0 1 1282 IGLJ1 0.05410 0.01471 0.00001 0 1 1283 IGLJ1 0.03985 0.20979 0.00000 0 1 1284 IGLJ1; IGLL5; 0.06843 0.13046 0.00035 0 1 1285 IGLJ1; IGLL5; 0.02356 0.12484 0.00001 0 1 1286 IGLJ1; IGLL5; 0.35266 1.00000 0.00099 0 1 1287 IGLC2 0.02326 0.66188 0.02559 0 1 1288 IGLC2 0.61516 0.09212 0.02792 0 1 1289 IGLC2 0.22755 0.54294 0.08726 0 0 1290 IGLC2 1.00000 1.00000 1.00000 0 0 1291 IGLJ3 0.59201 0.73481 1.00000 0 1 1292 IGLC3 1.00000 1.00000 1.00000 0 0 1293 IGLC3 1.00000 0.54294 0.21104 0 0 1294 IGLJ6 0.47887 1.00000 1.00000 0 0 1295 IGLJ6 1.00000 1.00000 1.00000 0 0 1296 IGLC7 0.34948 0.54966 0.07959 0 0 1297 IGLC7 0.67043 0.54966 0.07959 0 0 1298 IGLC7 0.10727 0.54966 0.02537 0 0 1299 IGLC7 0.60686 0.54294 0.08726 0 0 1300 IGLC7 0.19371 0.29551 0.02818 0 1 1301 IGLC7 0.60686 0.54294 0.08726 0 0 1302 IGLC7 0.01393 0.01404 0.00003 0 1 1303 IGLC7 0.22755 0.54294 0.08726 0 0 1304 BCR 0.62100 1.00000 0.29694 0 0 1305 BCR 0.60686 0.54294 0.08726 0 0 1306 CRYBA4 0.22755 1.00000 0.08726 0 0 1307 XBP1 0.01070 0.09031 0.00058 0 1 1308 XBP1 0.70990 0.29551 0.00730 0 1 1309 DRG1 0.22755 0.54294 0.08726 0 0 1310 SYN3 0.47887 1.00000 0.29694 0 0 1311 TAB1 0.22755 0.54294 0.08726 0 0 1312 TAB1 0.22755 0.54294 0.08726 0 0 1313 PACSIN2 0.22755 0.54294 0.08726 0 0 1314 TBC1D22A 0.22755 0.54294 0.08726 0 0 1315 LL22NC03- 0.49735 1.00000 1.00000 0 0 75H12.2 1316 CRELD2 0.47887 1.00000 0.29694 0 0 1317 GTPBP6 0.49735 1.00000 1.00000 0 0 1318 SLC25A6 1.00000 1.00000 0.29694 0 0 1319 P2RY8 0.22755 0.54294 0.08726 1 0 1320 TMSB4X 0.00091 0.00098 0.00000 1 1 1321 TMSB4X 0.00045 0.00107 0.00000 1 1 1322 ATXN3L 1.00000 1.00000 0.08726 0 0 1323 DCAF8L2 0.05016 0.29551 0.00730 0 1 1324 DMD 0.49735 1.00000 1.00000 1 0 1325 DMD 1.00000 0.34615 1.00000 1 0 1326 DMD 0.60686 0.54294 0.08726 1 0 1327 DMD 0.67043 0.54966 0.02537 1 0 1328 DMD 0.11004 0.01471 0.00000 1 1 1329 CASK 1.00000 1.00000 0.29694 0 0 1330 MAOA 0.25970 0.16101 0.00208 0 1 1331 PIM2 0.34948 0.54966 0.02537 1 0 1332 PIM2 0.60686 0.54294 0.08726 1 0 1333 ZC4H2 0.19371 0.29551 0.00730 0 1 1334 AR 0.47887 1.00000 0.29694 0 0 1335 HMGN5 0.43735 1.00000 1.00000 0 0 1336 SH3BGRL 1.00000 1.00000 0.29694 0 0 1337 CPXCR1 0.22755 0.54294 0.08726 0 0 1338 CPXCR1 0.49735 1.00000 1.00000 0 0 1339 CPXCR1 0.49735 1.00000 1.00000 0 0 1340 CPXCR1 0.22755 0.54294 0.08726 0 0 1341 NAPIL3 0.49735 1.00000 1.00000 0 0 1342 FAM133A 1.00000 1.00000 0.29694 0 0 1343 FAM133A 1.00000 1.00000 0.29694 0 0 1344 IL1RAPL2 1.00000 1.00000 0.29694 0 0 1345 IL1RAPL2 1.00000 1.00000 0.29694 0 0 1346 RIPPLY1 0.49735 1.00000 1.00000 0 0 1347 HTR2C 0.47887 1.00000 0.50663 0 0 1348 CXorf61 1.00000 1.00000 0.29694 0 0 1349 DCAF12L2 0.22755 0.54294 0.08726 0 0 1350 DCAF12L2 0.22755 0.54294 0.08726 0 0 1351 SMARCA1 1.00000 1.00000 0.29694 0 0 1352 RBMX2 1.00000 1.00000 0.29694 0 0 1353 CT45A3; 0.60686 0.54294 0.08726 0 0 CT45A4; 1354 SPANXD; 0.22755 0.54294 0.08726 0 0 SPANXE 1355 SPANXN1 0.49735 1.00000 1.00000 0 0 1356 TMEM257 0.49735 0.34615 1.00000 0 0

# Chromosome Region Start Region End ABC-subtype GCB-subtype ClosestGene p_ABC_vs_GCB PreviouslyIdentified 1 chr1 756000 757000 0.040 0.000 AL669831.1 1.00000 0 2 chr1 1963000 1964000 0.000 0.000 GABRD 1.00000 0 3 chr1 2052000 2053000 0.000 0.040 PRKCZ 1.00000 0 4 chr1 3789000 3790000 0.000 0.000 DFFB 1.00000 0 5 chr1 6613000 6614000 0.000 0.000 NOL9 1.00000 1 6 chr1 6614000 6615000 0.120 0.040 NOL9 0.60921 1 7 chr1 6661000 6662000 0.000 0.000 KLHL21 1.00000 0 8 chr1 6662000 6663000 0.120 0.000 KLHL21 0.23469 0 9 chr1 9129000 9130000 0.000 0.080 SLC2A5 0.48980 0 10 chr1 10894000 10895000 0.040 0.000 Clorf127 1.00000 0 11 chr1 17019000 17020000 0.000 0.000 AL137798.1 1.00000 0 12 chr1 17231000 17232000 0.040 0.000 CROCC 1.00000 0 13 chr1 19935000 19936000 0.080 0.000 MINOS1-NBL1 0.48980 0 14 chr1 21091000 21092000 0.040 0.000 HP1BP3 1.00000 0 15 chr1 23885000 23886000 0.080 0.040 ID3 1.00000 1 16 chr1 28408000 28409000 0.000 0.040 EYA3 1.00000 0 17 chr1 32373000 32374000 0.000 0.040 PTP4A2 1.00000 0 18 chr1 36722000 36723000 0.040 0.000 THRAP3 1.00000 0 19 chr1 46576000 46577000 0.040 0.000 PIK3R3 1.00000 0 20 chr1 51965000 51966000 0.000 0.040 EPS15 1.00000 0 21 chr1 51978000 51979000 0.040 0.080 EPS15 1.00000 0 22 chr1 51983000 51984000 0.040 0.000 EPS15 1.00000 0 23 chr1 72393000 72394000 0.040 0.000 NEGR1 1.00000 0 24 chr1 73719000 73720000 0.040 0.040 LRR1Q3 1.00000 0 25 chr1 77315000 77316000 0.000 0.040 ST6GALNAC5 1.00000 0 26 chr1 81306000 81307000 0.040 0.000 LPHN2 1.00000 0 27 chr1 81527000 81528000 0.000 0.000 LPHN2 1.00000 0 28 chr1 82009000 82010000 0.000 0.000 LPHN2 1.00000 0 29 chr1 84106000 84107000 0.040 0.000 TTLL7 1.00000 0 30 chr1 87524000 87525000 0.000 0.040 HS2ST1; 1.00000 0 HS2ST1LOC339524; 31 chr1 94551000 94552000 0.000 0.040 ABCA4 1.00000 0 32 chr1 94552000 94553000 0.000 0.040 ABCA4 1.00000 0 33 chr1 103696000 103697000 0.000 0.000 COL11A1 1.00000 0 34 chr1 116979000 116980000 0.000 0.040 ATP1A1 1.00000 0 35 chr1 149784000 149785000 0.040 0.040 HIST2H3D 1.00000 1 36 chr1 149821000 149822000 0.040 0.000 HIST2H2AA4 1.00000 1 37 chr1 149857000 149858000 0.000 0.040 HIST2H2BE 1.00000 1 38 chr1 149858000 149859000 0.080 0.040 HIST2H2AC; 1.00000 0 HIST2H2BE; 39 chr1 160616000 160617000 0.040 0.040 SLAMF1 1.00000 0 40 chr1 162711000 162712000 0.040 0.000 DDR2 1.00000 0 41 chr1 163684000 163685000 0.040 0.000 NUF2 1.00000 0 42 chr1 167598000 167599000 0.080 0.000 RCSD1 0.48980 0 43 chr1 167599000 167600000 0.040 0.000 RCSD1 1.00000 0 44 chr1 167600000 167601000 0.040 0.040 RCSD1 1.00000 0 45 chr1 174333000 174334000 0.040 0.000 RABGAP1L 1.00000 0 46 chr1 187263000 187264000 0.000 0.000 PLA2G4A 1.00000 0 47 chr1 187283000 187284000 0.040 0.000 PLA2G4A 1.00000 0 48 chr1 187892000 187893000 0.040 0.000 PLA2G4A 1.00000 0 49 chr1 195282000 195283000 0.000 0.040 KCNT2 1.00000 0 50 chr1 198591000 198592000 0.000 0.040 PTPRC 1.00000 0 51 chr1 198608000 198609000 0.040 0.000 PTPRC 1.00000 0 52 chr1 198609000 198610000 0.080 0.000 PTPRC 0.48980 0 53 chr1 202004000 202005000 0.040 0.040 ELF3 1.00000 0 54 chr1 203273000 203274000 0.040 0.000 BTG2 1.00000 1 55 chr1 203274000 203275000 0.160 0.160 BTG2 1.00000 1 56 chr1 203275000 203276000 0.400 0.280 BTG2 0.55122 1 57 chr1 203276000 203277000 0.080 0.040 BTG2 1.00000 I 58 chr1 205780000 205781000 0.000 0.000 SLC41A1 1.00000 0 59 chr1 205781000 205782000 0.000 0.000 SLC41A1 1.00000 0 60 chr1 206283000 206284000 0.000 0.040 CTSE 1.00000 0 61 chr1 206286000 206287000 0.040 0.000 CTSE 1.00000 0 62 chr1 217044000 217045000 0.040 0.000 ESRRG 1.00000 0 63 chr1 226924000 226925000 0.080 0.120 ITPKB 1.00000 1 64 chr1 226925000 226926000 0.120 0.000 ITPKB 0.23469 1 65 chr1 226926000 226927000 0.120 0.000 ITPKB 0.23469 1 66 chr1 229974000 229975000 0.040 0.040 URB2 1.00000 0 67 chr1 235131000 235132000 0.000 0.000 TOMM20 1.00000 0 68 chr1 235141000 235142000 0.040 0.000 TOMM20 1.00000 0 69 chr1 238787000 238788000 0.040 0.000 MTRNR2L11 1.00000 0 70 chr1 248088000 248089000 0.040 0.000 OR2T8 1.00000 0 71 chr2 630000 631000 0.000 0.000 TMEM18 1.00000 0 72 chr2 1484000 1485000 0.000 0.000 TPO 1.00000 0 73 chr2 7991000 7992000 0.000 0.040 RNF144A 1.00000 0 74 chr2 12173000 12174000 0.000 0.040 LPIN1 1.00000 0 75 chr2 12175000 12176000 0.000 0.000 LPIN1 1.00000 0 76 chr2 12249000 12250000 0.000 0.040 LPIN1 1.00000 0 77 chr2 14113000 14114000 0.000 0.000 FAM84A 1.00000 0 78 chr2 17577000 17578000 0.000 0.040 RAD51AP2 1.00000 0 79 chr2 19253000 19254000 0.000 0.000 OSR1 1.00000 0 80 chr2 24802000 74803000 0.040 0.000 NCOA1 1.00000 0 81 chr2 31478000 31479000 0.040 0.000 ERD3 1.00000 0 82 chr2 41728000 41729000 0.040 0.000 C2orf91 1.00000 0 83 chr2 45404000 45405000 0.000 0.000 SIX2 1.00000 0 84 chr2 47923000 47924000 0.000 0.040 MSH6 1.00000 0 85 chr2 47944000 47945000 0.000 0.000 MSH6 1.00000 0 86 chr2 51360000 51361000 0.040 0.000 NRXN1 1.00000 0 87 chr2 51655000 51656000 0.000 0.000 NRXN1 1.00000 0 88 chr2 56565000 56566000 0.040 0.000 CCDC85A 1.00000 0 89 chr2 57800000 57801000 0.040 0.000 VRK2 1.00000 0 90 chr2 60779000 60780000 0.000 0.040 BCL11A 1.00000 0 91 chr2 60780000 60781000 0.080 0.000 BCL11A 0.48980 0 92 chr2 63802000 63803000 0.000 0.000 WDPCP 1.00000 0 93 chr2 63827000 63828000 0.000 0.040 MDH1 1.00000 0 94 chr2 64319000 64320000 0.000 0.040 PELI1 1.00000 0 95 chr2 65593000 65594000 0.000 0.040 SPRED2 1.00000 1 96 chr2 67002000 67003000 0.040 0.040 MEIS1 1.00000 0 97 chr2 70315000 70316000 0.040 0.000 PCBP1 1.00000 0 98 chr2 79502000 79503000 0.000 0.000 REG3A 1.00000 0 99 chr2 79644000 79645000 0.000 0.000 CTNNA2 1.00000 0 100 chr2 81818000 81819000 0.000 0.000 CTNNA2 1.00000 0 101 chr2 82310000 82311000 0.000 0.000 CTNNA2 1.00000 0 102 chr2 82948000 82949000 0.000 0.040 SUCLG1 1.00000 0 103 chr2 85335000 85336000 0.000 0.000 TCF7L1 1.00000 0 104 chr2 88905000 88906000 0.080 0.000 EIF2AK3 0.48980 0 105 chr2 88906000 88907000 0.160 0.040 EIF2AK3 0.34868 0 106 chr2 88907000 88908000 0.040 0.040 EIF2AK3 1.00000 0 107 chr2 89052000 89053000 0.000 0.080 RPIA 0.48980 0 108 chr2 89065000 89066000 0.000 0.000 RPIA 1.00000 0 109 chr2 89066000 89067000 0.040 0.000 RPIA 1.00000 0 110 chr2 89095000 89096000 0.000 0.040 RPIA 1.00000 0 111 chr2 89127000 89128000 0.120 0.080 IGKC 1.00000 0 112 chr2 89128000 89129000 0.160 0.160 IGKC 1.00000 0 113 chr2 89129000 89130000 0.120 0.000 IGKC 0.23469 0 114 chr2 89130000 89131000 0.080 0.000 IGKC 0.48980 0 115 chr2 89131000 89132000 0.040 0.040 IGKC 1.00000 0 116 chr2 89132000 89133000 0.040 0.000 IGKC 1.00000 0 117 chr2 89133000 89134000 0.000 0.040 IGKC 1.00000 0 118 chr2 89137000 89138000 0.000 0.040 IGKC 1.00000 0 119 chr2 89138000 89139000 0.040 0.000 IGKC 1.00000 0 120 chr2 89139000 89140000 0.000 0.040 IGKC 1.00000 0 121 chr2 89140000 89141000 0.040 0.120 IGKC 0.60921 0 122 chr2 89141000 89142000 0.080 0.120 IGKC 1.00000 0 123 chr2 89142000 89143000 0.040 0.200 IGKC 0.18946 0 124 chr2 89143000 89144000 0.000 0.080 IGKC 0.48980 0 125 chr2 89144000 89145000 0.040 0.040 IGKC 1.00000 0 126 chr2 89145000 89146000 0.040 0.000 IGKC 1.00000 0 127 chr2 89146000 89147000 0.000 0.000 IGKC 1.00000 0 128 chr2 89153000 89154000 0.000 0.000 IGKC 1.00000 0 129 chr2 89155000 89156000 0.080 0.080 IGKC 1.00000 0 130 chr2 89156000 89157000 0.120 0.000 IGKC 0.23469 0 131 chr2 89157000 89158000 0.240 0.160 IGKC 0.72520 0 132 chr2 89158000 89159000 0.240 0.280 IGKC 1.00000 0 133 chr2 89159000 89160000 0.360 0.640 IGKJ5 0.08874 0 134 chr2 89160000 89161000 0.320 0.680 IGKJ3; IGKJ4; 0.02271 0 IGKJ5; 135 chr2 89161000 89162000 0.240 0.320 IGKJI; IGKJ2; 0.75361 0 136 chr2 89162000 89163000 0.200 0.200 IGKJ1 1.00000 0 137 chr2 89163000 89164000 0.120 0.240 IGKJ1 0.46349 0 138 chr2 89164000 89165000 0.160 0.280 IGKJ1 0.49620 0 139 chr2 89165000 89166000 0.160 0.360 IGKJ1 0.19633 0 140 chr2 89166000 89167000 0.000 0.040 IGKJ1 1.00000 0 141 chr2 89169000 89170000 0.000 0.040 IGKJ1 1.00000 0 142 chr2 89184000 89185000 0.000 0.000 IGKV4-1 1.00000 0 143 chr2 89185000 89186000 0.120 0.320 IGKV4-1 0.17062 0 144 chr2 89196000 89197000 0.000 0.160 IGKV5-2 0.10986 0 145 chr2 89197000 89198000 0.000 0.040 IGKV5-2 1.00000 0 146 chr2 89214000 89215000 0.000 0.040 IGKV5-2 1.00000 0 147 chr2 89246000 89247000 0.040 0.000 IGKV1-5 1.00000 0 148 chr2 89247000 89248000 0.160 0.000 IGKV1-5 0.10986 0 149 chr2 89248000 89249000 0.040 0.000 IGKV1-5 1.00000 0 150 chr2 89266000 89267000 0.000 0.040 IGKV1-6 1.00000 0 151 chr2 89291000 89292000 0.040 0.040 IGKV1-8 1.00000 0 152 chr2 89292000 89293000 0.000 0.040 IGKV1-8 1.00000 0 153 chr2 89326000 89327000 0.040 0.000 IGKV3-11 1.00000 0 154 chr2 89327000 89328000 0.040 0.000 IGKV3-11 1.00000 0 155 chr2 89442000 89443000 0.040 0.160 IGKV3-20 0.34868 0 156 chr2 89443000 89444000 0.000 0.000 IGKV3-20 1.00000 0 157 chr2 89476000 89477000 0.000 0.000 IGKV2-24 1.00000 0 158 chr2 89513000 89514000 0.040 0.000 IGKV1-27 1.00000 0 159 chr2 89521000 89522000 0.040 0.040 IGKV2-28 1.00000 0 160 chr2 89533000 89534000 0.040 0.000 IGKV2-30 1.00000 0 161 chr2 89534000 89535000 0.080 0.000 IGKV2-30 0.48980 0 162 chr2 89544000 89545000 0.000 0.080 IGKV2-30 0.48980 0 163 chr2 89545000 89546000 0.040 0.000 IGKV2-30 1.00000 0 164 chr2 90259000 90260000 0.040 0.000 IGKV1D-8 1.00000 0 165 chr2 90260000 90261000 0.120 0.000 IGKV1D-8 0.23469 0 166 chr2 96809000 96810000 0.040 0.080 DUSP2 1.00000 1 167 chr2 96810000 96811000 0.080 0.120 DUSP2 1.00000 1 168 chr2 96811000 96812000 0.000 0.080 DUSP2 0.48980 1 169 chr2 98611000 98612000 0.000 0.040 TMEM131 1.00000 0 170 chr2 100757000 100758000 0.080 0.000 AFF3 0.48980 0 171 chr2 100758000 100759000 0.120 0.000 AFF3 0.23469 0 172 chr2 106144000 106145000 0.000 0.080 FHL2 0.48980 0 173 chr2 111878000 111879000 0.000 0.120 BCL2L11 0.23469 0 174 chr2 111879000 111880000 0.040 0.120 BCL2L11 0.60921 0 175 chr2 112305000 112306000 0.000 0.040 ANAPC1 1.00000 0 176 chr2 116234000 116235000 0.040 0.000 DPP10 1.00000 0 177 chr2 116439000 116440000 0.040 0.000 DPP10 1.00000 0 178 chr2 124697000 124698000 0.000 0.040 CNTNAP5 1.00000 0 179 chr2 125235000 125236000 0.000 0.000 CNTNAP5 1.00000 0 180 chr2 127538000 127539000 0.000 0.000 GYPC 1.00000 0 181 chr2 136874000 136875000 0.200 0.120 CXCR4 0.70194 1 182 chr2 136875000 136876000 0.240 0.240 CXCR4 1.00000 1 183 chr2 136996000 136997000 0.000 0.040 CXCR4 1.00000 1 184 chr2 137082000 137083000 0.040 0.000 CXCR4 1.00000 1 185 chr2 140951000 140952000 0.040 0.000 LRP1B 1.00000 0 186 chr2 141335000 141336000 0.040 0.000 LRP1B 1.00000 0 187 chr2 141770000 141771000 0.000 0.000 LRP1B 1.00000 0 188 chr2 146445000 146446000 0.000 0.000 ZEB2 1.00000 0 189 chr2 146446000 146447000 0.000 0.080 ZEB2 0.48980 0 190 chr2 156443000 156444000 0.000 0.000 KCNJ3 1.00000 0 191 chr2 172590000 172591000 0.040 0.000 DYNC1I2 1.00000 0 192 chr2 176581000 176582000 0.000 0.000 KIAA1715 1.00000 0 193 chr2 179880000 179881000 0.000 0.040 CCDC141 1.00000 0 194 chr2 180358000 180359000 0.040 0.000 ZNF385B 1.00000 0 195 chr2 189285000 189286000 0.040 0.000 GULP1 1.00000 0 196 chr2 189432000 189433000 0.000 0.040 GULP1 1.00000 0 197 chr2 194115000 194116000 0.040 0.000 TMEFF2 1.00000 0 198 chr2 197035000 197036000 0.040 0.080 STK17B 1.00000 0 199 chr2 197041000 197042000 0.080 0.000 STK17B 0.48980 0 200 chr2 215999000 216000000 0.040 0.000 ABCA12 1.00000 0 201 chr2 216973000 216974000 0.000 0.000 XRCC5 1.00000 0 202 chr2 217247000 217248000 0.000 0.000 4-Mar-19 1.00000 0 203 chr2 225386000 225387000 0.040 0.000 CUL3 1.00000 0 204 chr2 225524000 225525000 0.000 0.040 CUL3 1.00000 0 205 chr2 233478000 233479000 0.040 0.000 EFHD1 1.00000 0 206 chr2 233980000 233981000 0.000 0.080 INPP5D 0.48980 0 207 chr2 240641000 240642000 0.000 0.000 AC093802.1 1.00000 0 208 chr2 241125000 241126000 0.000 0.000 OTOS 1.00000 0 209 chr3 8739000 8740000 0.000 0.000 CAV3 1.00000 0 210 chr3 16407000 16408000 0.000 0.000 RFTN1 1.00000 1 211 chr3 16409000 16410000 0.000 0.000 RFTN1 1.00000 1 212 chr3 16419000 16420000 0.040 0.080 RFTN1 1.00000 1 213 chr3 16472000 16473000 0.040 0.000 RFTN1 1.00000 1 214 chr3 16495000 16496000 0.000 0.080 RETN1 0.48980 1 215 chr3 16552000 16553000 0.000 0.080 RFTN1 0.48980 1 216 chr3 16554000 16555000 0.120 0.120 RFTN1 1.00000 1 217 chr3 16555000 16556000 0.000 0.040 RFTN1 1.00000 1 218 chr3 21658000 21659000 0.040 0.000 ZNF385D 1.00000 0 219 chr3 25691000 25692000 0.040 0.040 TOP2B 1.00000 0 220 chr3 31969000 31970000 0.000 0.040 OSBPL10 1.00000 1 221 chr3 31993000 31994000 0.040 0.000 OSBPL10 1.00000 1 222 chr3 32001000 32002000 0.080 0.040 OSBPL10 1.00000 1 223 chr3 32022000 32023000 0.120 0.080 OSBPL10 1.00000 1 224 chr3 32023000 32024000 0.080 0.000 OSBPL10 0.48980 1 225 chr3 50128000 50129000 0.000 0.040 RBM5 1.00000 0 226 chr3 54913000 54914000 0.040 0.000 CACNA2D3 1.00000 0 227 chr3 56074000 56075000 0.040 0.040 ERC2 1.00000 0 228 chr3 59577000 59578000 0.000 0.000 FHIT 1.00000 0 229 chr3 60351000 60352000 0.000 0.040 FHIT 1.00000 0 230 chr3 60356000 60357000 0.000 0.000 FHIT 1.00000 0 231 chr3 60357000 60358000 0.040 0.000 FHIT 1.00000 0 232 chr3 60358000 60359000 0.040 0.000 FHIT 1.00000 0 233 chr3 60359000 60360000 0.000 0.000 FHIT 1.00000 0 234 chr3 60389000 60390000 0.000 0.040 FHIT 1.00000 0 235 chr3 60392000 60393000 0.040 0.000 FHIT 1.00000 0 236 chr3 60395000 60396000 0.000 0.000 FHIT 1.00000 0 237 chr3 60404000 60405000 0.040 0.000 FHIT 1.00000 0 238 chr3 60436000 60437000 0.000 0.000 FHIT 1.00000 0 239 chr3 60437000 60438000 0.000 0.040 FHIT 1.00000 0 240 chr3 60477000 60478000 0.040 0.040 FHIT 1.00000 0 241 chr3 60485000 60486000 0.040 0.000 FHIT 1.00000 0 242 chr3 60515000 60516000 0.000 0.040 FHIT 1.00000 0 243 chr3 60535000 60536000 0.040 0.000 FHIT 1.00000 0 244 chr3 60602000 60603000 0.000 0.000 FHIT 1.00000 0 245 chr3 60613000 60614000 0.000 0.040 FHIT 1.00000 0 246 chr3 60614000 60615000 0.000 0.040 FHIT 1.00000 0 247 chr3 60632000 60633000 0.000 0.000 FHIT 1.00000 0 248 chr3 60635000 60636000 0.000 0.000 FHIT 1.00000 0 249 chr3 60640000 60641000 0.000 0.000 FHIT 1.00000 0 250 chr3 60647000 60648000 0.000 0.040 FHIT 1.00000 0 251 chr3 60648000 60649000 0.000 0.040 FHIT 1.00000 0 252 chr3 60652000 60653000 0.000 0.000 FHIT 1.00000 0 253 chr3 60660000 60661000 0.040 0.000 FHIT 1.00000 0 254 chr3 60665000 60666000 0.000 0.040 FHIT 1.00000 0 255 chr3 60666000 60667000 0.000 0.040 FHIT 1.00000 0 256 chr3 60671000 60672000 0.000 0.000 FHIT 1.00000 0 257 chr3 60673000 60674000 0.040 0.000 FHIT 1.00000 0 258 chr3 60675000 60676000 0.000 0.040 FHIT 1.00000 0 259 chr3 60678000 60679000 0.000 0.040 FHIT 1.00000 0 260 chr3 60683000 60684000 0.000 0.000 FHIT 1.00000 0 261 chr3 60684000 60685000 0.000 0.040 FHIT 1.00000 0 262 chr3 60688000 60689000 0.040 0.000 FHIT 1.00000 0 263 chr3 60717000 60718000 0.000 0.000 FHIT 1.00000 0 264 chr3 60740000 60741000 0.040 0.000 FHIT 1.00000 0 265 chr3 60774000 60775000 0.000 0.040 FHIT 1.00000 0 266 chr3 60792000 60793000 0.000 0.000 FHIT 1.00000 0 267 chr3 60806000 60807000 0.040 0.000 FHIT 1.00000 0 268 chr3 60812000 60813000 0.000 0.000 FHIT 1.00000 0 269 chr3 60860000 60861000 0.000 0.000 FHIT 1.00000 0 270 chr3 71551000 71552000 0.040 0.000 EIF4E3 1.00000 0 271 chr3 78274000 78275000 0.000 0.040 ROBO1 1.00000 0 272 chr3 80273000 80274000 0.000 0.000 ROBO1 1.00000 0 273 chr3 83094000 83095000 0.000 0.000 GBE1 1.00000 0 274 chr3 83924000 83925000 0.000 0.000 CADM2 1.00000 0 275 chr3 84293000 84294000 0.000 0.040 CADM2 1.00000 0 276 chr3 85260000 85261000 0.000 0.040 CADM2 1.00000 0 277 chr3 85261000 85262000 0.000 0.000 CADM2 1.00000 0 278 chr3 85799000 85800000 0.040 0.000 CADM2 1.00000 0 279 chr3 86226000 86227000 0.000 0.000 CADM2 1.00000 0 280 chr3 88146000 88147000 0.040 0.000 CGGBP1 1.00000 0 281 chr3 94709000 94710000 0.000 0.000 NSUN3 1.00000 0 282 chr3 95460000 95461000 0.000 0.000 MTRNR2L12 1.00000 0 283 chr3 95724000 95725000 0.080 0.000 MTRNR2L12 0.48980 0 284 chr3 101569000 101570000 0.000 0.040 NFKBIZ 1.00000 0 285 chr3 111851000 111852000 0.000 0.000 GCSAM 1.00000 0 286 chr3 111852000 111853000 0.040 0.040 GCSAM 1.00000 0 287 chr3 122377000 122378000 0.080 0.040 PARP14 1.00000 0 288 chr3 150478000 150479000 0.000 0.000 SIAH2 1.00000 0 289 chr3 150479000 150480000 0.000 0.040 SIAH2 1.00000 0 290 chr3 150480000 150481000 0.000 0.120 SIAH2 0.23469 0 291 chr3 163237000 163238000 0.000 0.000 SI 1.00000 0 292 chr3 163238000 163239000 0.000 0.000 SI 1.00000 0 293 chr3 163615000 163616000 0.040 0.040 SI 1.00000 0 294 chr3 183270000 183271000 0.000 0.000 KLHL6 1.00000 0 295 chr3 183271000 183272000 0.000 0.040 KLHL6 1.00000 0 296 chr3 183272000 183273000 0.000 0.120 KLHL6 0.23469 0 297 chr3 183273000 183274000 0.000 0.040 KLHL6 1.00000 0 298 chr3 186648000 186649000 0.000 0.040 ADIPOQ 1.00000 0 299 chr3 186714000 186715000 0.080 0.160 ST6GAL1 0.66710 1 300 chr3 186715000 186716000 0.080 0.000 ST6GAL1 0.48980 1 301 chr3 186739000 186740000 0.120 0.040 ST6GAL1 0.60921 1 302 chr3 186740000 186741000 0.160 0.080 ST6GAL1 0.66710 1 303 chr3 186742000 186743000 0.000 0.000 ST6GAL1 1.00000 1 304 chr3 186783000 186784000 0.160 0.240 ST6GAL1 0.72520 1 305 chr3 186784000 186785000 0.040 0.040 ST6GAL1 1.00000 1 306 chr3 187458000 187459000 0.000 0.000 BCL6 1.00000 1 307 chr3 187459000 187460000 0.000 0.000 BCL6 1.00000 1 308 chr3 187460000 187461000 0.040 0.040 BCL6 1.00000 1 309 chr3 187461000 187462000 0.240 0.360 BCL6 0.53803 1 310 chr3 187462000 187463000 0.440 0.560 BCL6 0.57214 1 311 chr3 187463000 187464000 0.360 0.440 BCL6 0.77379 1 312 chr3 187464000 187465000 0.200 0.200 BCL6 1.00000 1 313 chr3 187468000 187469000 0.120 0.000 BCL6 0.23469 1 314 chr3 187635000 187636000 0.040 0.000 BCL6 1.00000 1 315 chr3 187636000 187637000 0.000 0.000 BCL6 1.00000 1 316 chr3 187653000 187654000 0.040 0.040 BCL6 1.00000 1 317 chr3 187658000 187659000 0.000 0.040 BCL6 1.00000 1 318 chr3 187660000 187661000 0.040 0.160 BCL6 0.34868 1 319 chr3 187661000 187662000 0.040 0.240 BCL6 0.09878 1 320 chr3 187664000 187665000 0.040 0.080 BCL6 1.00000 1 321 chr3 187686000 187687000 0.040 0.000 AC022498.1 1.00000 0 322 chr3 187687000 187688000 0.000 0.040 AC022498.1 1.00000 0 323 chr3 187693000 187694000 0.040 0.040 AC022498.1 1.00000 0 324 chr3 187696000 187697000 0.040 0.000 AC022498.1 1.00000 0 325 chr3 187697000 187698000 0.040 0.000 AC022498.1 1.00000 0 326 chr3 187803000 187804000 0.000 0.000 AC022498.1 1.00000 0 327 chr3 187806000 187807000 0.080 0.080 AC022498.1 1.00000 0 328 chr3 187957000 187958000 0.120 0.160 AC022498.1 1.00000 0 329 chr3 187958000 187959000 0.240 0.280 AC022498.1 1.00000 0 330 chr3 187959000 187960000 0.120 0.040 AC022498.1 0.60921 0 331 chr3 187960000 187961000 0.000 0.040 AC022498.1 1.00000 0 332 chr3 188222000 188223000 0.000 0.000 LPP 1.00000 0 333 chr3 188298000 188299000 0.040 0.000 LPP 1.00000 0 334 chr3 188299000 188300000 0.080 0.080 LPP 1.00000 0 335 chr3 188471000 188472000 0.120 0.240 LPP 0.46349 0 336 chr3 188472000 188473000 0.000 0.080 LPP 0.48980 0 337 chr4 50000 51000 0.080 0.000 ZNF595; 0.48980 0 ZNF718; 338 chr4 51000 52000 0.120 0.040 ZNF595; 0.60921 0 ZNF718; 339 chr4 54000 55000 0.080 0.000 ZNF595; 0.48980 0 ZNF718; 340 chr4 290000 291000 0.000 0.000 ZNF732 1.00000 0 341 chr4 385000 386000 0.080 0.000 ZNF141 0.48980 0 342 chr4 550000 551000 0.000 0.000 PIGG 1.00000 0 343 chr4 2707000 2708000 0.000 0.040 FAM193A 1.00000 0 344 chr4 5206000 5207000 0.080 0.000 STK32B 0.48980 0 345 chr4 25863000 25864000 0.080 0.040 SEL1L3 1.00000 0 346 chr4 25864000 25865000 0.000 0.040 SEL1L3 1.00000 0 347 chr4 25865000 25866000 0.040 0.000 SEL1L3 1.00000 0 348 chr4 29657000 29658000 0.040 0.000 PCDH7 1.00000 0 349 chr4 30356000 30357000 0.040 0.000 PCDH7 1.00000 0 350 chr4 33418000 33419000 0.000 0.000 PCDH7 1.00000 0 351 chr4 33449000 33450000 0.000 0.040 PCDH7 1.00000 0 352 chr4 39348000 39349000 0.000 0.040 RFC1 1.00000 0 353 chr4 39974000 39975000 0.000 0.000 PDS5A 1.00000 0 354 chr4 40194000 40195000 0.000 0.120 N4BP2 0.23469 0 355 chr4 40195000 40196000 0.000 0.040 N4BP2 1.00000 0 356 chr4 40196000 40197000 0.040 0.000 N4BP2 1.00000 0 357 chr4 40197000 40199000 0.000 0.000 N4BP2 1.00000 0 358 chr4 40198000 40199000 0.120 0.080 N4BP2 1.00000 0 359 chr4 40199000 40200000 0.280 0.240 N4BP2 1.00000 0 360 chr4 40200000 40201000 0.080 0.080 RHOH 1.00000 1 361 chr4 40201000 40202000 0.120 0.120 RHOH 1.00000 1 362 chr4 40202000 40203000 0.080 0.000 RHOH 0.48980 1 363 chr4 40204000 40205000 0.000 0.040 RHOH 1.00000 1 364 chr4 45308000 45309000 0.000 0.000 GNPDA2 1.00000 0 365 chr4 46360000 46361000 0.000 0.040 GABRA2 1.00000 0 366 chr4 62375000 62376000 0.000 0.000 LPHN3 1.00000 0 367 chr4 62530000 62531000 0.000 0.000 LPHN3 1.00000 0 368 chr4 62911000 62912000 0.000 0.040 LPHN3 1.00000 0 369 chr4 63120000 63121000 0.040 0.040 LPHN3 1.00000 0 370 chr4 64015000 64016000 0.000 0.000 LPHN3 1.00000 0 371 chr4 65038000 65039000 0.040 0.000 TECRL 1.00000 0 372 chr4 65165000 65166000 0.000 0.040 TECRL 1.00000 0 373 chr4 65966000 65967000 0.000 0.040 EPHA5 1.00000 0 374 chr4 66827000 66828000 0.000 0.080 EPHA5 0.48980 0 375 chr4 71531000 71532000 0.000 0.040 IGJ 1.00000 0 376 chr4 71532000 71533000 0.000 0.000 IGJ 1.00000 0 377 chr4 74456000 74457000 0.040 0.000 RASSF6 1.00000 0 378 chr4 74483000 74484000 0.040 0.000 RASSF6 1.00000 0 379 chr4 74484000 74485000 0.040 0.000 RASSF6 1.00000 0 380 chr4 74485000 74486000 0.120 0.000 RASSF6 0.23469 0 381 chr4 91886000 91887000 0.040 0.000 CCSER1 1.00000 0 382 chr4 92787000 92788000 0.000 0.040 CCSER1 1.00000 0 383 chr4 113206000 113207000 0.000 0.000 TIFA 1.00000 0 384 chr4 114466000 114467000 0.000 0.000 CAMK2D 1.00000 0 385 chr4 114681000 114682000 0.000 0.080 CAMK2D 0.48980 0 386 chr4 117928000 117929000 0.040 0.000 TRAM1L1 1.00000 0 387 chr4 123637000 123638000 0.000 0.000 BBS12 1.00000 0 388 chr4 125227000 125228000 0.040 0.000 ANKRD50 1.00000 0 389 chr4 127371000 127372000 0.000 0.000 FAT4 1.00000 0 390 chr4 133455000 133456000 0.000 0.000 PCDH10 1.00000 0 391 chr4 134538000 134539000 0.000 0.040 PCDH10 1.00000 0 392 chr4 134743000 134744000 0.040 0.040 PABPC4L 1.00000 0 393 chr4 134867000 134868000 0.000 0.000 PABPC4L 1.00000 0 394 chr4 134949000 134950000 0.080 0.000 PABPC4L 0.48980 0 395 chr4 135064000 135065000 0.040 0.000 PABPC4L 1.00000 0 396 chr4 135077000 135078000 0.000 0.000 PABPC4L 1.00000 0 397 chr4 136799000 136800000 0.000 0.000 PCDH18 1.00000 0 398 chr4 136867000 136868000 0.000 0.040 PCDH18 1.00000 0 399 chr4 140236000 140237000 0.040 0.000 NAA15 1.00000 0 400 chr4 151723000 151724000 0.000 0.000 LRBA 1.00000 0 401 chr4 151950000 151951000 0.000 0.000 LRBA 1.00000 0 402 chr4 152125000 152126000 0.040 0.040 SH3D19 1.00000 0 403 chr4 157246000 157247000 0.040 0.000 CTSO 1.00000 0 404 chr4 164532000 164533000 0.000 0.000 1-Mar-19 1.00000 0 405 chr4 178732000 178733000 0.040 0.040 AGA 1.00000 0 406 chr4 178885000 178886000 0.040 0.000 AGA 1.00000 0 407 chr4 179898000 179899000 0.000 0.040 AGA 1.00000 0 408 chr4 180885000 180886000 0.040 0.000 TENM3 1.00000 0 409 chr4 181554000 181555000 0.040 0.040 TENM3 1.00000 0 410 chr4 182122000 182123000 0.000 0.040 TENM3 1.00000 0 411 chr5 436000 437000 0.000 0.000 AHRR 1.00000 0 412 chr5 3982000 3983000 0.040 0.000 IRX1 1.00000 0 413 chr5 17218000 17219000 0.040 0.000 BASH 1.00000 0 414 chr5 17219000 17220000 0.080 0.000 BASP1 0.48980 0 415 chr5 18514000 18515000 0.040 0.000 CDH18 1.00000 0 416 chr5 22356000 22357000 0.040 0.000 CDH12 1.00000 0 417 chr5 22517000 22518000 0.040 0.000 CDH12 1.00000 0 418 chr5 24632000 24633000 0.000 0.000 CDH10 1.00000 0 419 chr5 25275000 25276000 0.000 0.040 CDH10 1.00000 0 420 chr5 25541000 25542000 0.000 0.000 CDH10 1.00000 0 421 chr5 26119000 26120000 0.000 0.080 CDH9 0.48980 0 422 chr5 26450000 26451000 0.000 0.000 CDH9 1.00000 0 423 chr5 29224000 29225000 0.080 0.000 CDH6 0.48980 0 424 chr5 29492000 29493000 0.000 0.000 CDH6 1.00000 0 425 chr5 29648000 29649000 0.000 0.000 CDH6 1.00000 0 426 chr5 51521000 51522000 0.000 0.040 CTD-2203A3.1 1.00000 0 427 chr5 83841000 83842000 0.040 0.000 EDIL3 1.00000 0 428 chr5 88177000 88178000 0.040 0.000 MEF2C 1.00000 0 429 chr5 88178000 88179000 0.040 0.000 MEF2C 1.00000 0 430 chr5 91417000 91418000 0.000 0.000 ARRDC3 1.00000 0 431 chr5 103678000 103679000 0.040 0.000 NUDT12 1.00000 0 432 chr5 123696000 123697000 0.000 0.000 ZNF608 1.00000 1 433 chr5 124079000 124080000 0.000 0.040 ZNF608 1.00000 1 434 chr5 124080000 124081000 0.040 0.000 ZNF608 1.00000 1 435 chr5 127594000 127595000 0.000 0.040 FBN2 1.00000 0 436 chr5 127875000 127876000 0.000 0.000 FBN2 1.00000 0 437 chr5 131825000 131826000 0.120 0.040 IRF1 0.60921 0 438 chr5 131826000 131827000 0.040 0.040 IRF1 1.00000 0 439 chr5 149791000 149792000 0.160 0.240 CD74 0.72520 1 440 chr5 149792000 149793000 0.040 0.080 CD74 1.00000 1 441 chr5 158380000 158381000 0.000 0.080 ERF1 0.48980 0 442 chr5 158479000 158480000 0.000 0.000 EBF1 1.00000 0 443 chr5 158526000 158527000 0.040 0.080 ERF1 1.00000 0 444 chr5 158527000 158528000 0.040 0.040 EBF1 1.00000 0 445 chr5 158528000 158529000 0.040 0.000 ERF1 1.00000 0 446 chr5 164247000 164248000 0.040 0.040 MAT2B 1.00000 0 447 chr5 164441000 164442000 0.000 0.000 MAT2B 1.00000 0 448 chr5 165932000 165933000 0.000 0.000 TENM2 1.00000 0 449 chr5 173300000 173301000 0.000 0.000 CPEB4 1.00000 0 450 chr5 179166000 179167000 0.040 0.040 MAML1 1.00000 0 451 chr5 180102000 180103000 0.040 0.000 FLT4 1.00000 0 452 chr6 392000 393000 0.120 0.080 IRF4 1.00000 1 453 chr6 393000 394000 0.080 0.080 IRF4 1.00000 1 454 chr6 14118000 14119000 0.160 0.440 CD83 0.06222 1 455 chr6 14119000 14120000 0.000 0.120 CD83 0.23469 1 456 chr6 18111000 18112000 0.000 0.080 NHLRC1 0.48980 0 457 chr6 18387000 18388000 0.000 0.040 RNF144B 1.00000 1 458 chr6 18388000 18389000 0.000 0.040 RNF144B 1.00000 1 459 chr6 19573000 19574000 0.040 0.040 ID4 1.00000 0 460 chr6 22873000 22874000 0.040 0.000 HDGFL1 1.00000 0 461 chr6 26031000 26032000 0.000 0.040 HIST1H3B 1.00000 1 462 chr6 26032000 26033000 0.000 0.040 HIST1H3B 1.00000 1 463 chr6 26056000 26057000 0.120 0.040 HIST1H1C 0.60921 1 464 chr6 26123000 26124000 0.120 0.040 HIST1H2BC 0.60921 1 465 chr6 26124000 26125000 0.120 0.080 HIST1H2AC; 1.00000 0 HIST1H2BC; 466 chr6 26125000 26126000 0.000 0.040 HIST1H2AC 1.00000 1 467 chr6 26156000 26157000 0.120 0.080 HIST1H1E 1.00000 1 468 chr6 26157000 26158000 0.080 0.040 HIST1H1E 1.00000 1 469 chr6 26216000 26217000 0.040 0.040 HIST1H2BG 1.00000 1 470 chr6 26234000 26235000 0.080 0.040 HIST1H1D 1.00000 0 471 chr6 27101000 27102000 0.040 0.040 HIST1H2AG 1.00000 1 472 chr6 27114000 27115000 0.080 0.040 HIST1H2AH; 1.00000 0 HIST1H2BK; 473 chr6 27792000 27793000 0.120 0.040 HIST1H4J 0.60921 0 474 chr6 27833000 27834000 0.040 0.000 HIST1H2AL 1.00000 1 475 chr6 27860000 27861000 0.000 0.080 HIST1H2AM 0.48980 1 476 chr6 27861000 27862000 0.000 0.040 HIST1H2BO 1.00000 1 477 chr6 29778000 29779000 0.000 0.040 LOC554223 1.00000 0 478 chr6 29780000 29781000 0.040 0.000 HLA-G 1.00000 0 479 chr6 29911000 29912000 0.080 0.040 HLA-A 1.00000 0 480 chr6 29927000 29928000 0.040 0.000 HLA-A 1.00000 0 481 chr6 31324000 31325000 0.040 0.040 HLA-B 1.00000 1 482 chr6 31325000 31326000 0.000 0.000 HLA-B 1.00000 1 483 chr6 31543000 31544000 0.080 0.000 TNF 0.48980 1 484 chr6 31549000 31550000 0.200 0.240 LTB 1.00000 1 485 chr6 31550000 31551000 0.040 0.040 LTB 1.00000 1 486 chr6 32440000 32441000 0.120 0.000 HLA-DRA 0.23469 0 487 chr6 32451000 32452000 0.040 0.000 HLA-DRB5 1.00000 0 488 chr6 32452000 32453000 0.080 0.000 HLA-DRB5 0.48980 0 489 chr6 32455000 32456000 0.040 0.040 HLA-DRB5 1.00000 0 490 chr6 32457000 32458000 0.000 0.000 HLA-DRB5 1.00000 0 491 chr6 32498000 32499000 0.000 0.040 HLA-DRB5 1.00000 0 492 chr6 32505000 32506000 0.040 0.000 HLA-DRB5 1.00000 0 493 chr6 32511000 32512000 0.000 0.000 HLA-DRB5 1.00000 0 494 chr6 32522000 32523000 0.040 0.000 HLA-DRB1 1.00000 0 495 chr6 32525000 32526000 0.040 0.000 HLA-DRB1 1.00000 0 496 chr6 32526000 32527000 0.000 0.000 HLA-DRB1 1.00000 0 497 chr6 32527000 32528000 0.000 0.000 HLA-DRB1 1.00000 0 498 chr6 32548000 32549000 0.000 0.000 HLA-DRB1 1.00000 0 499 chr6 32552000 32553000 0.040 0.000 HLA-DRB1 1.00000 0 500 chr6 32557000 32558000 0.000 0.080 HLA-DRB1 0.48980 0 501 chr6 32609000 32610000 0.000 0.040 HLA-DQA1 1.00000 0 502 chr6 32630000 32631000 0.000 0.040 HLA-DQB1 1.00000 0 503 chr6 32632000 32633000 0.080 0.040 HLA-DQB1 1.00000 0 504 chr6 32727000 32728000 0.040 0.040 HLA-DQB2 1.00000 0 505 chr6 32729000 32730000 0.000 0.040 HLA-DQB2 1.00000 0 506 chr6 33048000 33049000 0.000 0.040 HLA-DPB1 1.00000 0 507 chr6 34179000 34180000 0.000 0.040 HMGA1 1.00000 0 508 chr6 37138000 37139000 0.200 0.200 PIMI 1.00000 1 509 chr6 37139000 37140000 0.120 0.120 PIMI 1.00000 1 510 chr6 37140000 37141000 0.040 0.000 PIMI 1.00000 1 511 chr6 58001000 58002000 0.040 0.000 PRIM2 1.00000 0 512 chr6 67923000 67924000 0.040 0.000 BAI3 1.00000 0 513 chr6 77256000 77257000 0.040 0.000 IMPG1 1.00000 0 514 chr6 81437000 81438000 0.040 0.000 BCKDHB 1.00000 0 515 chr6 88468000 88469000 0.000 0.040 AKIRIN2 1.00000 0 516 chr6 88630000 88631000 0.040 0.080 SPACA1 1.00000 0 517 chr6 88876000 88877000 0.000 0.000 CNR1 1.00000 0 518 chr6 89323000 89324000 0.000 0.000 RNGTT 1.00000 0 519 chr6 89338000 89339000 0.080 0.000 RNGTT 0.48980 0 520 chr6 89348000 89349000 0.080 0.000 RNGTT 0.48980 0 521 chr6 89470000 89471000 0.080 0.000 RNGTT 0.48980 0 522 chr6 89471000 89472000 0.000 0.000 RNGTT 1.00000 0 523 chr6 90061000 90062000 0.040 0.040 UBE2J1 1.00000 1 524 chr6 90062000 90063000 0.040 0.000 UBE2J1 1.00000 1 525 chr6 90994000 90995000 0.000 0.080 MAP3K7 0.48980 0 526 chr6 91004000 91005000 0.040 0.040 MAP3K7 1.00000 0 527 chr6 91005000 91006000 0.120 0.280 MAP3K7 0.28902 0 528 chr6 91006000 91007000 0.040 0.120 MAP3K7 0.60921 0 529 chr6 91007000 91008000 0.000 0.040 MAP3K7 1.00000 0 530 chr6 94822000 94823000 0.000 0.040 EPHA7 1.00000 0 531 chr6 107704000 107705000 0.000 0.000 PDSS2 1.00000 0 532 chr6 112885000 112886000 0.040 0.000 RFPL4B 1.00000 0 533 chr6 113244000 118245000 0.040 0.000 SLC35F1 1.00000 0 534 chr6 121288000 121289000 0.000 0.000 C6orf170 1.00000 0 535 chr6 121489000 121490000 0.000 0.080 C6orf170 0.48980 0 536 chr6 123504000 123505000 0.040 0.000 TRDN 1.00000 0 537 chr6 127313000 127314000 0.040 0.000 RSPO3 1.00000 0 538 chr6 133785000 133786000 0.080 0.000 EYA4 0.48980 0 539 chr6 134491000 134492000 0.000 0.080 SGK1 0.48980 1 540 chr6 134492000 134493000 0.080 0.040 SGK1 1.00000 1 541 chr6 134493000 134494000 0.040 0.080 SGK1 1.00000 1 542 chr6 134494000 134495000 0.040 0.080 SGK1 1.00000 1 543 chr6 134495000 134496000 0.160 0.280 SGK1 0.49620 1 544 chr6 134496000 134497000 0.000 0.200 SGK1 0.05015 1 545 chr6 142046000 142047000 0.000 0.080 NMBR 0.48980 0 546 chr6 147860000 147861000 0.000 0.040 SAMD5 1.00000 0 547 chr6 150954000 150955000 0.040 0.040 PLEKHG1 1.00000 0 548 chr6 159238000 159239000 0.000 0.080 EZR 0.48980 0 549 chr6 159239000 159240000 0.040 0.000 EZR 1.00000 0 550 chr6 159240000 159241000 0.040 0.000 EZR 1.00000 0 551 chr6 159464000 159465000 0.040 0.000 TAGAP 1.00000 0 552 chr6 159465000 159466000 0.040 0.000 TAGAP 1.00000 0 553 chr6 161265000 161266000 0.000 0.040 PLG 1.00000 0 554 chr6 161833000 161834000 0.000 0.000 PARK2 1.00000 0 555 chr6 162712000 162713000 0.000 0.000 PARK2 1.00000 0 556 chr6 164941000 164942000 0.000 0.000 C6orf118 1.00000 0 557 chr6 168813000 168814000 0.000 0.000 SMOC2 1.00000 0 558 chr7 1898000 1899000 0.040 0.040 AC110781.3 1.00000 0 559 chr7 1963000 1964000 0.040 0.000 MAD1L1 1.00000 0 560 chr7 2080000 2081000 0.000 0.040 MAD1L1 1.00000 0 561 chr7 5568000 5569000 0.040 0.080 ACTB 1.00000 1 562 chr7 5569000 5570000 0.040 0.120 ACTB 0.60921 1 563 chr7 5570000 5571000 0.040 0.040 ACTB 1.00000 1 564 chr7 9933000 9934000 0.040 0.040 NDUFA4 1.00000 0 565 chr7 13017000 13018000 0.000 0.040 ARL4A 1.00000 0 566 chr7 13346000 13347000 0.000 0.000 ETV1 1.00000 0 567 chr7 15459000 15460000 0.000 0.000 AGMO 1.00000 0 568 chr7 16382000 16383000 0.040 0.000 ISPD 1.00000 0 569 chr7 28600000 28601000 0.040 0.000 CREB5 1.00000 0 570 chr7 40846000 40847000 0.040 0.000 C7orf10 1.00000 0 571 chr7 50349000 50350000 0.040 0.040 IKZF1 1.00000 0 572 chr7 50350000 50351000 0.080 0.040 IKZF1 1.00000 0 573 chr7 53335000 53336000 0.000 0.000 POM121L12 1.00000 0 574 chr7 57713000 57714000 0.080 0.040 ZNF716 1.00000 0 575 chr7 62475000 62476000 0.040 0.040 AC006455.1 1.00000 0 576 chr7 70669000 70670000 0.040 0.000 WBSCR17 1.00000 0 577 chr7 71553000 71554000 0.000 0.040 CALN1 1.00000 0 578 chr7 79847000 79848000 0.040 0.000 GNAI1 1.00000 0 579 chr7 80694000 80695000 0.040 0.000 AC005008.2 1.00000 0 580 chr7 81556000 81557000 0.000 0.000 CACNA2D1 1.00000 0 581 chr7 84127000 84128000 0.040 0.000 SEMA3A 1.00000 0 582 chr7 84247000 84248000 0.000 0.040 SEMA3D 1.00000 0 583 chr7 84257000 84258000 0.000 0.000 SEMA3D 1.00000 0 584 chr7 86914000 86915000 0.000 0.040 CROT 1.00000 0 585 chr7 90356000 90357000 0.000 0.040 CDK14 1.00000 0 586 chr7 93304000 93305000 0.000 0.000 CALCR 1.00000 0 587 chr7 93682000 93683000 0.040 0.000 BET1 1.00000 0 588 chr7 102644000 102645000 0.000 0.000 FBXL13 1.00000 0 589 chr7 105699000 105700000 0.000 0.040 CDHR3 1.00000 0 590 chr7 110521000 110522000 0.040 0.040 IMMP2L 1.00000 0 591 chr7 110543000 110544000 0.040 0.000 IMMP2L 1.00000 0 592 chr7 110545000 110546000 0.040 0.000 IMMP2L 1.00000 0 593 chr7 110597000 110598000 0.000 0.040 IMMP2L 1.00000 0 594 chr7 110601000 110602000 0.000 0.000 IMMP2L 1.00000 0 595 chr7 110602000 110603000 0.040 0.000 IMMP2L 1.00000 0 596 chr7 110609000 110610000 0.040 0.000 IMMP2L 1.00000 0 597 chr7 110610000 110611000 0.040 0.000 IMMP2L 1.00000 0 598 chr7 110617000 110618000 0.040 0.000 IMMP2L 1.00000 0 599 chr7 110618000 110619000 0.000 0.000 IMMP2L 1.00000 0 600 chr7 110619000 110620000 0.040 0.000 IMMP2L 1.00000 0 601 chr7 110621000 110622000 0.000 0.040 IMMP2L 1.00000 0 602 chr7 110628000 111629000 0.040 0.000 IMMP2L 1.00000 0 603 chr7 110629000 110630000 0.000 0.000 IMMP2L 1.00000 0 604 chr7 110631000 110632000 0.000 0.040 IMMP2L 1.00000 0 605 chr7 110632000 110633000 0.040 0.000 IMMP2L 1.00000 0 606 chr7 110636000 110637000 0.040 0.000 IMMP2L 1.00000 0 607 chr7 110637000 110638000 0.000 0.000 IMMP2L 1.00000 0 608 chr7 110638000 110639000 0.000 0.040 IMMP2L 1.00000 0 609 chr7 110639000 110640000 0.000 0.040 IMMP2L 1.00000 0 610 chr7 110641000 110642000 0.000 0.000 IMMP2L 1.00000 0 611 chr7 110650000 110651000 0.000 0.000 IMMP2L 1.00000 0 612 chr7 110651000 110652000 0.000 0.040 IMMP2L 1.00000 0 613 chr7 110666000 110667000 0.000 0.000 IMMP2L 1.00000 0 614 chr7 110671000 110672000 0.000 0.080 IMMP2L 0.48980 0 615 chr7 110677000 110678000 0.000 0.000 IMMP2L 1.00000 0 616 chr7 110679000 110680000 0.000 0.000 IMMP2L 1.00000 0 617 chr7 110680000 110681000 0.000 0.000 IMMP2L 1.00000 0 618 chr7 110685000 110686000 0.000 0.000 LRRN3 1.00000 0 619 chr7 110686000 110687000 0.000 0.040 LRRN3 1.00000 0 620 chr7 110688000 110689000 0.000 0.000 LRRN3 1.00000 0 621 chr7 110699000 110700000 0.080 0.000 LRRN3 0.48980 0 622 chr7 110700000 110701000 0.040 0.000 LRRN3 1.00000 0 623 chr7 110709000 110710000 0.000 0.040 LRRN3 1.00000 0 624 chr7 110711000 110712000 0.000 0.040 LRRN3 1.00000 0 625 chr7 110714000 110715000 0.000 0.040 LRRN3 1.00000 0 626 chr7 110727000 110728000 0.000 0.040 LRRN3 1.00000 0 627 chr7 110728000 110729000 0.040 0.000 LRRN3 1.00000 0 628 chr7 110729000 110730000 0.000 0.040 LRRN3 1.00000 0 629 chr7 110734000 110735000 0.000 0.040 LRRN3 1.00000 0 630 chr7 110737000 110738000 0.000 0.000 LRRN3 1.00000 0 631 chr7 110740000 110741000 0.040 0.080 LRRN3 1.00000 0 632 chr7 110744000 110745000 0.000 0.000 LRRN3 1.00000 0 633 chr7 110746000 110747000 0.000 0.040 LRRN3 1.00000 0 634 chr7 110747000 110748000 0.000 0.000 LRRN3 1.00000 0 635 chr7 110748000 110749000 0.000 0.000 LRRN3 1.00000 0 636 chr7 110755000 110756000 0.000 0.000 LRRN3 1.00000 0 637 chr7 110764000 110765000 0.000 0.000 LRRN3 1.00000 0 638 chr7 110767000 110768000 0.040 0.000 LRRN3 1.00000 0 639 chr7 110769000 110770000 0.000 0.040 LRRN3 1.00000 0 640 chr7 110771000 110772000 0.040 0.040 LRRN3 1.00000 0 641 chr7 110779000 110780000 0.000 0.000 LRRN3 1.00000 0 642 chr7 110780000 110781000 0.000 0.040 LRRN3 1.00000 0 643 chr7 110783000 110784000 0.000 0.040 LRRN3 1.00000 0 644 chr7 110785000 110786000 0.000 0.080 LRRN3 0.48980 0 645 chr7 110801000 110802000 0.000 0.040 LRRN3 1.00000 0 646 chr7 110802000 110303000 0.000 0.040 LRRN3 1.00000 0 647 chr7 110810000 110811000 0.000 0.000 LRRN3 1.00000 0 648 chr7 110316000 110817000 0.000 0.000 LRRN3 1.00000 0 649 chr7 110821000 110822000 0.000 0.040 LRRN3 1.00000 0 650 chr7 110824000 110325000 0.000 0.000 LRRN3 1.00000 0 651 chr7 110827000 110828000 0.040 0.000 LRRN3 1.00000 0 652 chr7 110336000 110837000 0.040 0.040 LRRN3 1.00000 0 653 chr7 110847000 11048000 0.000 0.040 LRRN3 1.00000 0 654 chr7 111567000 111568000 0.000 0.000 DOCK4 1.00000 0 655 chr7 119056000 119057000 0.040 0.000 KCND2 1.00000 0 656 chr7 121380000 121381000 0.040 0.000 PTPRZ1 1.00000 0 657 chr7 123887000 123888000 0.000 0.000 THEM229A 1.00000 0 658 chr7 125262000 125263000 0.000 0.040 POT1 1.00000 0 659 chr7 145723000 145724000 0.000 0.000 CNTNAP2 1.00000 0 660 chr7 148508000 148509000 0.000 0.000 EZH2 1.00000 0 661 chr7 155127000 155128000 0.000 0.000 BLACE 1.00000 0 662 chr7 157162000 157163000 0.040 0.000 DNAJB6 1.00000 0 663 chr7 158684000 158685000 0.000 0.040 WDR60 1.00000 0 664 chr8 1646000 1647000 0.000 0.040 DLGAP2 1.00000 0 665 chr8 5558000 5559000 0.000 0.040 MCPH1 1.00000 0 666 chr8 5612000 5613000 0.000 0.000 MCPH1 1.00000 0 667 chr8 8602000 8603000 0.000 0.120 MFHAS1 0.23469 0 668 chr8 8706000 8707000 0.000 0.000 MFHAS1 1.00000 0 669 chr8 8717000 8718000 0.000 0.040 MFHAS1 1.00000 0 670 chr8 11352000 11353000 0.040 0.040 BLK 1.00000 0 671 chr8 14080000 14081000 0.000 0.040 SGCZ 1.00000 0 672 chr8 14796000 14797000 0.040 0.000 SGCZ 1.00000 0 673 chr8 16090000 16091000 0.000 0.040 MSR1 1.00000 0 674 chr8 16187000 16188000 0.000 0.080 MSR1 0.48980 0 675 chr8 23101000 23102000 0.000 0.040 CHMP7 1.00000 0 676 chr8 24207000 24208000 0.000 0.000 ADAM28 1.00000 0 677 chr8 29155000 29156000 0.000 0.040 KIF13B 1.00000 0 678 chr8 35657000 35658000 0.000 0.000 AC012215.1 1.00000 0 679 chr8 38759000 38760000 0.040 0.000 PLEKHA2 1.00000 0 680 chr8 54986000 54987000 0.040 0.000 LYPLA1 1.00000 0 681 chr8 60031000 60032000 0.040 0.000 TOX 1.00000 0 682 chr8 67525000 67526000 0.040 0.000 MYBL1 1.00000 0 683 chr8 77105000 77106000 0.000 0.000 ZFHX4 1.00000 0 684 chr8 78400000 78401000 0.000 0.040 PEX2 1.00000 0 685 chr8 90322000 90323000 0.040 0.000 RIPK2 1.00000 0 686 chr8 93199000 93200000 0.000 0.040 RUNX1T1 1.00000 0 687 chr8 94618000 94619000 0.000 0.040 FAM92A1 1.00000 0 688 chr8 110586000 110587000 0.000 0.040 SYBU 1.00000 0 689 chr8 126687000 126688000 0.000 0.000 TRIB1 1.00000 0 690 chr8 128748000 128749000 0.080 0.280 MYC 0.13833 1 691 chr8 128749000 128750000 0.080 0.320 MYC 0.07375 1 692 chr8 128750000 128751000 0.080 0.120 MYC 1.00000 1 693 chr8 128751000 128752000 0.040 0.080 MYC 1.00000 1 694 chr8 128752000 128753000 0.000 0.000 MYC 1.00000 1 695 chr8 137918000 137919000 0.000 0.040 FAM135B 1.00000 0 696 chr8 138274000 138275000 0.000 0.000 FAM135B 1.00000 0 697 chr8 143183000 143184000 0.000 0.040 TSNARE1 1.00000 0 698 chr8 144123000 144124000 0.000 0.040 C8orf31 1.00000 0 699 chr9 6411000 6412000 0.040 0.040 UHRF2 1.00000 0 700 chr9 6413000 6414000 0.040 0.040 UHRF2 1.00000 0 701 chr9 6414000 6415000 0.000 0.000 UHRF2 1.00000 0 702 chr9 9928000 9929000 0.000 0.000 PTPRD 1.00000 0 703 chr9 13965000 13966000 0.040 0.000 NFIB 1.00000 0 704 chr9 22824000 22825000 0.040 0.000 DMRTA1 1.00000 0 705 chr9 25260000 25261000 0.040 0.000 TUSC1 1.00000 0 706 chr9 29890000 29891000 0.040 0.000 LINGO2 1.00000 0 707 chr9 30656000 30657000 0.000 0.040 ACO1 1.00000 0 708 chr9 37003000 37004000 0.040 0.000 PAX5 1.00000 1 709 chr9 37005000 37006000 0.040 0.000 PAX5 1.00000 1 710 chr9 37024000 37025000 0.040 0.040 PAX5 1.00000 1 711 chr9 37025000 37026000 0.160 0.120 PAX5 1.00000 1 712 chr9 37026000 37027000 0.240 0.120 PAX5 0.46349 1 713 chr9 37027000 37028000 0.080 0.040 PAX5 1.00000 1 714 chr9 37033000 37034000 0.120 0.040 PAX5 0.60921 1 715 chr9 37034000 37035000 0.120 0.040 PAX5 0.60921 1 716 chr9 37035000 37036000 0.000 0.040 PAX5 1.00000 1 717 chr9 37196000 37197000 0.040 0.000 ZCCHC7 1.00000 0 718 chr9 37197000 37198000 0.040 0.000 ZCCHC7 1.00000 0 719 chr9 37293000 37294000 0.000 0.000 ZCCHC7 1.00000 0 720 chr9 37294000 37295000 0.080 0.000 ZCCHC7 0.48980 0 721 chr9 37327000 37328000 0.040 0.000 ZCCHC7 1.00000 0 722 chr9 37336000 37337000 0.080 0.000 ZCCHC7 0.48980 0 723 chr9 37337000 37338000 0.000 0.000 ZCCHC7 1.00000 0 724 chr9 37338000 37339000 0.000 0.040 ZCCHC7 1.00000 0 725 chr9 37369000 37370000 0.040 0.000 ZCCHC7 1.00000 0 726 chr9 37371000 37372000 0.080 0.080 ZCCHC7 1.00000 0 727 chr9 37372000 37373000 0.000 0.000 ZCCHC7 1.00000 0 728 chr9 37383000 37384000 0.080 0.080 ZCCHC7 1.00000 0 729 chr9 37384000 37385000 0.120 0.040 ZCCHC7 0.60921 0 730 chr9 37385000 37386000 0.040 0.000 ZCCHC7 1.00000 0 731 chr9 37387000 37388000 0.080 0.040 ZCCHC7 1.00000 0 732 chr9 37397000 37398000 0.040 0.120 GRHPR 0.60921 0 733 chr9 37398000 37399000 0.040 0.000 GRHPR 1.00000 0 734 chr9 37399000 37400000 0.080 0.000 GRHPR 0.48980 0 735 chr9 37402000 37403000 0.000 0.040 GRHPR 1.00000 0 736 chr9 37406000 37407000 0.000 0.040 GRHPR 1.00000 0 737 chr9 37407000 37408000 0.200 0.080 GRHPR 0.41743 0 738 chr9 37408000 37409000 0.080 0.000 GRHPR 0.48980 0 739 chr9 37410000 37411000 0.000 0.000 GRHPR 1.00000 0 740 chr9 37424000 37425000 0.040 0.040 GRHPR 1.00000 0 741 chr9 37425000 37426000 0.000 0.040 GRHPR 1.00000 0 742 chr9 112811000 112812000 0.080 0.080 AKAP2 1.00000 0 743 chr9 117037000 117038000 0.000 0.040 COL27A1 1.00000 0 744 chr9 119779000 119780000 0.040 0.000 ASTN2 1.00000 0 745 chr9 126232000 126233000 0.040 0.000 DENND1A 1.00000 0 746 chr9 130741000 130742000 0.040 0.000 FAM102A 1.00000 1 747 chr9 130742000 130743000 0.040 0.080 FAM102A 1.00000 1 748 chr9 132767000 132768000 0.000 0.040 FNBP1 1.00000 0 749 chr9 132785000 132786000 0.040 0.000 FNBP1 1.00000 0 760 chr9 132803000 132804000 0.000 0.040 FNBP1 1.00000 0 751 chr9 132804000 132805000 0.040 0.120 FNBP1 0.60921 0 752 chr9 134551000 134552000 0.040 0.000 RAPGEF1 1.00000 0 753 chr9 138874000 138875000 0.000 0.040 URAC1 1.00000 0 764 chr10 3333000 3334000 0.000 0.000 PITRM1 1.00000 0 755 chr10 5707000 5708000 0.040 0.040 ASB13 1.00000 0 756 chr10 5728000 5729000 0.000 0.040 ASB13 1.00000 0 757 chr10 15393000 15394000 0.000 0.000 FAM171A1 1.00000 0 758 chr10 20796000 70797000 0.040 0.000 PLXDC2 1.00000 0 759 chr10 35424000 35425000 0.000 0.000 CREM 1.00000 0 760 chr10 56678000 56679000 0.000 0.000 PCDH15 1.00000 0 761 chr10 63440000 63441000 0.000 0.040 C10orf107 1.00000 0 762 chr10 63659000 63660000 0.040 0.000 ARID5B 1.00000 1 763 chr10 63660000 63661000 0.040 0.080 ARID5B 1.00000 1 764 chr10 63662000 63663000 0.000 0.000 ARID5B 1.00000 1 765 chr10 63720000 63721000 0.000 0.000 ARID5B 1.00000 1 766 chr10 63803000 63804000 0.000 0.000 ARID5B 1.00000 1 767 chr10 63809000 63810000 0.000 0.080 ARID5B 0.48980 1 768 chr10 63810000 63811000 0.000 0.040 ARID5B 1.00000 1 769 chr10 67907000 67908000 0.000 0.040 CTNNA3 1.00000 0 770 chr10 68474000 68475000 0.000 0.000 CTNNA3 1.00000 0 771 chr10 98510000 98511000 0.080 0.000 PIK3AP1 0.48980 0 772 chr10 101384000 101385000 0.000 0.000 SLC25A28 1.00000 0 773 chr10 108276000 108277000 0.040 0.000 SORES1 1.00000 0 774 chr10 113473000 113474000 0.040 0.040 GPAM 1.00000 0 775 chr10 113636000 113637000 0.040 0.000 GRAM 1.00000 0 776 chr10 116458000 116459000 0.000 0.040 AMAM1 1.00000 0 777 chr10 121623000 121624000 0.040 0.000 MCMBP 1.00000 0 778 chr10 132973000 132974000 0.040 0.000 TCERG1L 1.00000 0 779 chr10 134326000 134327000 0.000 0.000 INPP5A 1.00000 0 780 chr11 871000 872000 0.040 0.040 CHID1 1.00000 0 781 chr11 1149000 1150000 0.000 0.000 MUC5AC 1.00000 0 782 chr11 25065000 75066000 0.040 0.000 LUZP2 1.00000 0 783 chr11 25289000 25290000 0.040 0.040 LUZP2 1.00000 0 784 chr11 27216000 27217000 0.000 0.040 BBOX1 1.00000 0 785 chr11 28849000 28850000 0.000 0.000 METTL15 1.00000 0 786 chr11 29253000 29254000 0.040 0.000 KCNA4 1.00000 0 787 chr11 29900000 29901000 0.000 0.000 KCNA4 1.00000 0 788 chr11 40626000 40627000 0.000 0.000 LRRC4C 1.00000 0 789 chr11 40845000 40846000 0.000 0.000 LRRC4C 1.00000 0 790 chr11 40868000 40869000 0.000 0.000 LRRC4C 1.00000 0 791 chr11 41066000 41067000 0.000 0.000 LRRC4C 1.00000 0 792 chr11 41844000 41845000 0.000 0.000 API5 1.00000 0 793 chr11 57171000 57172000 0.040 0.000 SLC43A3 1.00000 0 794 chr11 60224000 60225000 0.040 0.080 MS4A1 1.00000 1 795 chr11 65190000 65191000 0.080 0.120 FRMD8 1.00000 0 796 chr11 65191000 65192000 0.080 0.120 FRMD8 1.00000 0 797 chr11 65266000 65267000 0.000 0.040 SCYL1 1.00000 0 798 chr11 65267000 65268000 0.120 0.040 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chr12 8762000 8763000 0.040 0.000 AICDA 1.00000 0 817 chr12 8763000 8764000 0.080 0.040 AICDA 1.00000 0 818 chr12 8764000 8765000 0.080 0.000 AICDA 0.48980 0 819 chr12 8765000 8766000 0.040 0.000 AICDA 1.00000 0 820 chr12 9823000 9824000 0.040 0.000 CLEC2D 1.00000 0 821 chr12 11710000 11711000 0.000 0.040 ETV6 1.00000 1 822 chr12 11803000 11804000 0.040 0.000 ETV6 1.00000 1 823 chr12 14923000 14924000 0.040 0.040 HIST4H4 1.00000 1 824 chr12 16717000 16718000 0.000 0.000 LMO3 1.00000 0 825 chr12 23805000 23806000 0.000 0.040 SOX5 1.00000 0 826 chr12 25149000 25150000 0.000 0.040 C12orf77 1.00000 0 827 chr12 25151000 25152000 0.000 0.040 C12orf77 1.00000 0 828 chr12 25174000 25175000 0.040 0.040 C12orf77 1.00000 0 829 chr12 25205000 25206000 0.040 0.040 LRMP 1.00000 1 830 chr12 25206000 25207000 0.080 0.120 LRMP 1.00000 1 831 chr12 25207000 25208000 0.080 0.120 LRMP 1.00000 1 832 chr12 25208000 25209000 0.000 0.040 LRMP 1.00000 1 833 chr12 25665000 25666000 0.000 0.000 IFLTD1 1.00000 0 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0.080 DTX1 0.66710 I 852 chr12 113496000 113497000 0.160 0.040 DTX1 0.34868 1 853 chr12 113497000 113498000 0.080 0.040 DTX1 1.00000 1 854 chr12 113499000 113500000 0.000 0.000 DTX1 1.00000 1 855 chr12 113512000 113513000 0.000 0.000 DTX1 1.00000 1 856 chr12 115966000 115967000 0.000 0.000 MED13L 1.00000 0 857 chr12 122432000 122433000 0.040 0.000 WDR66 1.00000 0 858 chr12 122433000 122434000 0.080 0.000 WDR66 0.48980 0 859 chr12 122447000 122448000 0.000 0.040 WDR66 1.00000 0 860 chr12 122458000 122459000 0.080 0.120 BCL7A 1.00000 1 861 chr12 122459000 122460000 0.240 0.320 BCL7A 0.75361 1 862 chr12 122460000 122461000 0.120 0.280 BCL7A 0.28902 1 863 chr12 122461000 122462000 0.240 0.240 BCL7A 1.00000 1 864 chr12 122462000 122463000 0.160 0.200 BCL7A 1.00000 1 865 chr12 122463000 122464000 0.120 0.200 BCL7A 0.70194 1 866 chr12 124054000 124055000 0.000 0.080 TMED2 0.48980 0 867 chr12 127965000 127966000 0.000 0.000 TMEM132C 1.00000 0 868 chr12 131303000 131304000 0.000 0.120 STX2 0.23469 0 869 chr12 131649000 131650000 0.000 0.000 GPR133 1.00000 0 870 chr12 133306000 133307000 0.000 0.000 ANKLE2 1.00000 0 871 chr13 21913000 21914000 0.040 0.040 ZDHHC20 1.00000 0 872 chr13 32116000 32117000 0.040 0.040 RXFP2 1.00000 0 873 chr13 35498000 35499000 0.000 0.000 NBEA 1.00000 0 874 chr13 38371000 38372000 0.040 0.000 TRPC4 1.00000 0 875 chr13 38630000 38631000 0.040 0.000 TRPC4 1.00000 0 876 chr13 41156000 41157000 0.000 0.040 FOXO1 1.00000 1 877 chr13 41240000 41241000 0.000 0.040 FOXO1 1.00000 1 878 chr13 46958000 46959000 0.000 0.000 KIAA0226L 1.00000 0 879 chr13 46959000 46960000 0.040 0.000 KIAA0226L 1.00000 0 880 chr13 46960000 46961000 0.160 0.040 KIAA0226L 0.34868 0 881 chr13 46961000 46962000 0.000 0.040 KIAA0226L 1.00000 0 882 chr13 46962000 46963000 0.000 0.040 KIAA0226L 1.00000 0 883 chr13 55239000 55240000 0.040 0.000 OLFM4 1.00000 0 884 chr13 55386000 55387000 0.040 0.000 OLFM4 1.00000 0 885 chr13 55598000 55599000 0.000 0.000 OLFM4 1.00000 0 886 chr13 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1.00000 1 921 chr14 69259000 69260000 0.360 0.240 ZFP36L1 0.53803 1 922 chr14 78418000 78419000 0.000 0.040 ADCK1 1.00000 0 923 chr14 81685000 81686000 0.000 0.040 GTF2A1 1.00000 0 924 chr14 84420000 84421000 0.040 0.000 FLRT2 1.00000 0 925 chr14 91883000 91884000 0.040 0.000 CCDC88C 1.00000 0 926 chr14 94941000 94942000 0.000 0.120 SERPINA9 0.23469 1 927 chr14 94942000 94943000 0.040 0.200 SERPINA9 0.18946 1 928 chr14 96179000 96180000 0.160 0.120 TCL1A 1.00000 1 929 chr14 96180000 96181000 0.080 0.160 TCL1A 0.66710 1 930 chr14 101597000 101598000 0.000 0.000 AL117190.3 1.00000 0 931 chr14 102285000 102286000 0.040 0.000 PPP2R5C 1.00000 0 932 chr14 105954000 105955000 0.040 0.040 CRIP1 1.00000 0 933 chr14 106031000 106032000 0.040 0.000 IGHA2 1.00000 0 934 chr14 106042000 106043000 0.080 0.200 IGHA2 0.41743 0 935 chr14 106048000 106049000 0.040 0.040 IGHA2 1.00000 0 936 chr14 106054000 106055000 0.040 0.040 IGHA2 1.00000 0 937 chr14 106055000 106056000 0.080 0.240 IGHA2 0.24672 0 938 chr14 106056000 106057000 0.040 0.200 IGHA2 0.18946 0 939 chr14 106057000 106058000 0.000 0.080 IGHA2 0.48980 0 940 chr14 106058000 106059000 0.000 0.080 IGHA2 0.48980 0 941 chr14 106066000 106067000 0.000 0.120 IGHE 0.23469 0 942 chr14 106067000 106068000 0.000 0.120 IGHE 0.23469 0 943 chr14 106068000 106069000 0.040 0.120 IGHE 0.60921 0 944 chr14 106069000 106070000 0.040 0.200 IGHE 0.18946 0 945 chr14 106070000 106071000 0.000 0.160 IGHE 0.10986 0 946 chr14 106071000 106072000 0.000 0.160 IGHE 0.10986 0 947 chr14 106072000 106073000 0.000 0.120 IGHE 0.23469 0 948 chr14 106082000 106083000 0.000 0.000 IGHG4 1.00000 0 949 chr14 106092000 106093000 0.040 0.000 IGHG4 1.00000 0 950 chr14 106094000 106095000 0.160 0.200 IGHG4 1.00000 0 951 chr14 106095000 106096000 0.080 0.160 IGHG4 0.66710 0 952 chr14 106110000 106111000 0.080 0.040 IGHG2 1.00000 0 953 chr14 106111000 106112000 0.000 0.040 IGHG2 1.00000 0 954 chr14 106112000 106113000 0.280 0.200 IGHG2 0.74164 0 955 chr14 106113000 106114000 0.240 0.320 IGHG2 0.75361 0 956 chr14 106114000 106115000 0.320 0.200 IGHG2 0.52019 0 957 chr14 106146000 106147000 0.000 0.000 IGHA1 1.00000 0 958 chr14 106151000 106157000 0.040 0.000 IGHAl 1.00000 0 959 chr14 106152000 106153000 0.040 0.000 IGHA1 1.00000 0 960 chr14 106161000 106162000 0.000 0.040 IGHA1 1.00000 0 961 chr14 106173000 106174000 0.040 0.040 IGHA1 1.00000 0 962 chr14 106174000 106175000 0.040 0.000 IGHAl 1.00000 0 963 chr14 106175000 106176000 0.040 0.000 IGHA1 1.00000 0 964 chr14 106176000 106177000 0.080 0.040 IGHA1 1.00000 0 965 chr14 106177000 106178000 0.000 0.000 IGHA1 1.00000 0 966 chr14 106178000 106179000 0.120 0.000 IGHAl 0.23469 0 967 chr14 106208000 106209000 0.040 0.040 IGHG1 1.00000 0 968 chr14 106209000 106210000 0.160 0.080 IGHG1 0.66710 0 969 chr14 106210000 106211000 0.160 0.120 IGHG1 1.00000 0 970 chr14 106211000 106212000 0.440 0.120 IGHG1 0.02548 0 971 chr14 106212000 106213000 0.520 0.120 IGHG1 0.00544 0 972 chr14 106213000 106214000 0.520 0.120 IGHG1 0.00544 0 973 chr14 106214000 106215000 0.240 0.000 IGHG1 0.02229 0 974 chr14 106237000 106238000 0.080 0.040 IGHG3 1.00000 0 975 chr14 106238000 106239000 0.320 0.120 IGHG3 0.17062 0 976 chr14 106239000 106240000 0.440 0.040 IGHG3 0.00192 0 977 chr14 106240000 106241000 0.480 0.080 IGHG3 0.00361 0 978 chr14 106241000 106242000 0.320 0.040 IGHG3 0.02322 0 979 chr14 106242000 106243000 0.040 0.000 IGHG3 1.00000 0 980 chr14 106321000 106322000 0.040 0.000 IGHM 1.00000 0 981 chr14 106322000 106323000 0.240 0.040 IGHM 0.09828 0 982 chr14 106323000 106324000 0.400 0.160 IGHM 0.11366 0 983 chr14 106324000 106325000 0.320 0.120 IGHM 0.17062 0 984 chr14 106325000 106326000 0.160 0.320 IGHM 0.32089 0 985 chr14 106326000 106327000 0.920 0.920 IGHJ6 1.00000 0 986 chr14 106327000 106328000 0.800 0.760 IGHJ6 1.00000 0 987 chr14 106328000 106329000 0.680 0.800 IGHJ6 0.52019 0 988 chr14 106329000 106330000 0.880 0.920 IGHJ6 1.00000 0 989 chr14 106330000 1061000 0.720 0.520 IGHJ3 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IGHV3-7 0.48980 0 1022 chr14 106519000 106520000 0.000 0.080 IGHV3-7 0.48980 0 1023 chr14 106539000 106540000 0.000 0.040 IGHV1-8 1.00000 0 1024 chr14 106552000 106553000 0.000 0.000 IGHV3-9 1.00000 0 1025 chr14 106573000 106574000 0.040 0.000 IGHV3-11 1.00000 0 1026 chr14 106574000 106575000 0.040 0.000 IGHV3-11 1.00000 0 1027 chr14 106578000 106579000 0.040 0.000 IGHV3-11 1.00000 0 1028 chr14 106579000 106580000 0.040 0.000 IGHV3-11 1.00000 0 1029 chr14 106610000 106611000 0.000 0.000 IGHV3-15 1.00000 0 1030 chr14 106641000 106642000 0.040 0.040 IGHV1-18 1.00000 0 1031 chr14 106642000 106643000 0.040 0.000 IGHV1-18 1.00000 0 1032 chr14 106691000 106692000 0.000 0.000 IGHV3-21 1.00000 0 1033 chr14 106692000 106693000 0.000 0.040 IGHV3-21 1.00000 0 1034 chr14 106725000 106726000 0.120 0160 IGHV3-23 1.00000 0 1035 chr14 106726000 106727000 0.040 0.080 IGHV3-23 1.00000 0 1036 chr14 106733000 106734000 0.000 0.080 IGHV1-24 0.48980 0 1037 chr14 106757000 106758000 0.000 0.040 IGHV2-26 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1054 chr14 107035000 107036000 0.080 0.000 IGHV5-51 0.48980 0 1055 chr14 107048000 107049000 0.000 0.000 IGHV3-53 1.00000 0 1056 chr14 107049000 107050000 0.000 0.000 IGHV3-53 1.00000 0 1057 chr14 107083000 107084000 0.040 0.040 IGHV4-59 1.00000 0 1058 chr14 107084000 107085000 0.000 0.040 IGHV4-59 1.00000 0 1059 chr14 107095000 107096000 0.040 0.000 IGHV4-61 1.00000 0 1060 chr14 107113000 107114000 0.080 0.000 IGHV3-64 0.48980 0 1061 chr14 107114000 107115000 0.080 0.000 IGHV3-64 0.48980 0 1062 chr14 107169000 107170000 0.200 0.240 IGHV1-69 1.00000 0 1063 chr14 107170000 107171000 0.360 0.280 IGHV1-69 0.76241 0 1064 chr14 107176000 107177000 0.200 0.200 IGHV2-70 1.00000 0 1065 chr14 107177000 107178000 0.080 0.040 IGHV2-70 1.00000 0 1066 chr14 107178000 107179000 0.200 0.520 IGHV2-70 0.03776 0 1067 chr14 107179000 107180000 0.240 0.360 IGHV2-70 0.53803 0 1068 chr14 107183000 107184000 0.000 0.000 IGHV2-70 1.00000 0 1069 chr14 107199000 107200000 0.000 0.080 IGHV3-72 0.48980 0 1070 chr14 107218000 107219000 0.000 0.080 IGHV3-74 0.48980 0 1071 chr14 107219000 107220000 0.000 0.160 IGHV3-74 0.10986 0 1072 chr14 107221000 107222000 0.000 0.080 IGHV3-74 0.48980 0 1073 chr14 107232000 107233000 0.000 0.000 IGHV3-74 1.00000 0 1074 chr14 107253000 107254000 0.000 0.000 IGHV7-81 1.00000 0 1075 chr14 107258000 107259000 0.000 0.040 IGHV7-81 1.00000 0 1076 chr14 107259000 107260000 0.160 0.200 IGHV7-81 1.00000 0 1077 chr15 45003000 45004000 0.040 0.040 B2M 1.00000 0 1078 chr15 45007000 45008000 0.000 0.000 B2M 1.00000 0 1079 chr15 45814000 45815000 0.000 0.040 SLC30A4 1.00000 0 1080 chr15 59664000 59665000 0.000 0.080 MYO1E 0.48980 0 1081 chr15 65588000 65589000 0.040 0.000 PARP16 1.00000 0 1082 chr15 78332000 78333000 0.000 0.000 TBC1D2B 1.00000 0 1083 chr15 83227000 83228000 0.000 0.040 CPEB1 1.00000 0 1084 chr15 86226000 86227000 0.040 0.040 AKAP13 1.00000 0 1085 chr15 86233000 86234000 0.040 0.000 AKAP13 1.00000 0 1086 chr15 86245000 86246000 0.080 0.120 AKAP13 1.00000 0 1087 chr16 368000 369000 0.000 0.040 AXIN1 1.00000 0 1088 chr16 3788000 3789000 0.040 0.000 CREBBP 1.00000 0 1089 chr16 10971000 10972000 0.080 0.120 CIITA 1.00000 1 1090 chr16 10972000 10973000 0.120 0.320 CIITA 0.17062 1 1091 chr16 10973000 10974000 0.120 0.240 CIITA 0.46349 1 1092 chr16 10974000 10975000 0.080 0.120 CIITA 1.00000 1 1093 chr16 11348000 11349000 0.080 0.200 SOCS1 0.41743 1 1094 chr16 11349000 11350000 0.120 0.240 SOCS1 0.46349 1 1095 chr16 21167000 21168000 0.040 0.000 DNAH3 1.00000 0 1096 chr16 27325000 27326000 0.000 0.040 CTD-3203P2.2 1.00000 0 1097 chr16 27326000 27327000 0.080 0.080 CTD-3203P2.2 1.00000 0 1098 chr16 27327000 27328000 0.000 0.000 IL4R 1.00000 0 1099 chr16 27414000 27415000 0.040 0.000 IL21R 1.00000 0 1100 chr16 29248000 29249000 0.000 0.000 61E3.4 1.00000 0 1101 chr16 31910000 31911000 0.040 0.000 ZNF267 1.00000 0 1102 chr16 46821000 46822000 0.000 0.040 C16orf87 1.00000 0 1103 chr16 50985000 50986000 0.040 0.000 CYLD 1.00000 0 1104 chr16 64351000 64352000 0.000 0.040 CDH11 1.00000 0 1105 chr16 78398000 78399000 0.000 0.000 WWOX 1.00000 0 1106 chr16 78615000 78616000 0.040 0.000 WWOX 1.00000 0 1107 chr16 78753000 78754000 0.000 0.040 WWOX 1.00000 0 1108 chr16 78811000 78812000 0.000 0.040 WWOX 1.00000 0 1109 chr16 79988000 79989000 0.000 0.040 MAF 1.00000 0 1110 chr16 81836000 81837000 0.000 0.000 PLCG2 1.00000 0 1111 chr16 85932000 85933000 0.040 0.040 IRF8 1.00000 1 1112 chr16 85933000 85934000 0.080 0.240 IRF8 0.24672 1 1113 chr16 85934000 85935000 0.040 0.000 IRF8 1.00000 1 1114 chr16 85936000 85937000 0.000 0.000 IRF8 1.00000 1 1115 chr16 88441000 88442000 0.040 0.000 ZNF469 1.00000 0 1116 chr17 3598000 3599000 0.040 0.040 P2RX5; P2RX5- 1.00000 0 TAX1BP3P2RX5; 1117 chr17 17286000 17287000 0.080 0.000 SMCR9 0.48980 0 1118 chr17 21194000 21195000 0.000 0.040 MAP2K3 1.00000 0 1119 chr17 29646000 29647000 0.000 0.000 EVI2A 1.00000 0 1120 chr17 38020000 38021000 0.000 0.040 IKZF3 1.00000 0 1121 chr17 43662000 43663000 0.040 0.000 PLEKHM1 1.00000 0 1122 chr17 56408000 56409000 0.120 0.040 BZRAP1 0.60921 0 1123 chr17 56409000 56410000 0.360 0.200 BZRAP1 0.34513 0 1124 chr17 57916000 57917000 0.040 0.080 VMP1 1.00000 1 1125 chr17 57917000 57918000 0.040 0.080 VMP1 1.00000 1 1126 chr17 62007000 62008000 0.040 0.000 CD79B 1.00000 0 1127 chr17 62008000 62009000 0.040 0.000 CD79B 1.00000 0 1128 chr17 63067000 63068000 0.040 0.000 GNA13 1.00000 0 1129 chr17 65676000 65677000 0.040 0.000 PITPNC1 1.00000 0 1130 chr17 69365000 69366000 0.000 0.040 AC007461.1 1.00000 0 1131 chr17 70083000 70084000 0.000 0.000 SOX9 1.00000 0 1132 chr17 74733000 74734000 0.000 0.000 SRSF2 1.00000 0 1133 chr17 75447000 75448000 0.080 0.000 9-Sep-19 0.48980 0 1134 chr17 75448000 75449000 0.040 0.000 9-Sep-19 1.00000 0 1135 chr17 76775000 76776000 0.000 0.000 CYTH1 1.00000 0 1136 chr17 80928000 80929000 0.000 0.000 B3GNTL1 1.00000 0 1137 chr17 80976000 80977000 0.000 0.040 B3GNTL1 1.00000 0 1138 chr18 2709000 2710000 0.000 0.000 SMCHD1 1.00000 0 1139 chr18 3600000 3601000 0.040 0.000 DLGAP1 1.00000 0 1140 chr18 12062000 12063000 0.000 0.000 ANKRD62 1.00000 0 1141 chr18 27771000 27772000 0.040 0.000 DSC3 1.00000 0 1142 chr18 28066000 28067000 0.000 0.040 DSC3 1.00000 0 1143 chr18 30349000 30350000 0.000 0.000 AC012123.1; 1.00000 0 KLHL14; 1144 chr18 36806000 36807000 0.040 0.000 CELF4 1.00000 0 1145 chr18 37751000 37752000 0.000 0.040 PIK3C3 1.00000 0 1146 chr18 38672000 38673000 0.000 0.040 PIK3C3 1.00000 0 1147 chr18 42168000 42169000 0.000 0.000 SETBP1 1.00000 0 1148 chr18 51952000 51953000 0.040 0.000 C18orf54 1.00000 0 1149 chr18 52447000 52448000 0.000 0.080 RAB27B 0.48980 0 1150 chr18 52988000 52989000 0.040 0.000 TCF4 1.00000 0 1151 chr18 54653000 54654000 0.000 0.000 WDR7 1.00000 0 1152 chr18 60794000 60795000 0.000 0.080 BCL2 0.48980 1 1153 chr18 60805000 60806000 0.000 0.000 BCL2 1.00000 1 1154 chr18 60806000 60807000 0.000 0.120 BCL2 0.23469 1 1155 chr18 60809000 60810000 0.000 0.080 BCL2 0.48980 1 1156 chr18 60821000 60822000 0.000 0.040 BCL2 1.00000 1 1157 chr18 60825000 60826000 0.000 0.080 BCL2 0.48980 1 1158 chr18 60826000 60827000 0.000 0.040 BCL2 1.00000 1 1159 chr18 60828000 60829000 0.000 0.000 BCL2 1.00000 1 1160 chr18 60873000 60874000 0.000 0.040 BCL2 1.00000 1 1161 chr18 60875000 60876000 0.000 0.000 BCL2 1.00000 1 1162 chr18 60876000 60877000 0.000 0.040 BCL2 1.00000 1 1163 chr18 60983000 60984000 0.000 0.040 BCL2 1.00000 1 1164 chr18 60984000 60985000 0.000 0.240 BCL2 0.02229 1 1165 chr18 60985000 60986000 0.040 0.320 BCL2 0.02322 1 1166 chr18 60986000 60987000 0.080 0.320 BCL2 0.07375 1 1167 chr18 60987000 60988000 0.080 0.320 BCL2 0.07375 1 1168 chr18 60988000 60989000 0.080 0.280 BCL2 0.13833 1 1169 chr18 61810000 61811000 0.040 0.000 SERPINB8 1.00000 0 1170 chr18 63080000 63081000 0.000 0.000 CDH7 1.00000 0 1171 chr18 63791000 63792000 0.000 0.000 CDH7 1.00000 0 1172 chr18 63875000 63876000 0.040 0.000 CDH19 1.00000 0 1173 chr18 64643000 64644000 0.000 0.000 CDH19 1.00000 0 1174 chr18 65863000 65864000 0.000 0.000 TMX3 1.00000 0 1175 chr18 66328000 66329000 0.040 0.000 TMX3 1.00000 0 1176 chr18 70462000 70463000 0.000 0.040 NETO1 1.00000 0 1177 chr18 73767000 73768000 0.040 0.000 ZNF516 1.00000 0 1178 chr18 76515000 76516000 0.040 0.000 SALL3 1.00000 0 1179 chr18 76724000 76725000 0.040 0.000 SALL3 1.00000 0 1180 chr18 76725000 76726000 0.040 0.000 SALL3 1.00000 0 1181 chr19 1612000 1613000 0.000 0.040 TCF3 1.00000 0 1182 chr19 2476000 2477000 0.040 0.040 GADD45B 1.00000 1 1183 chr19 10304000 10305000 0.040 0.080 DNMT1 1.00000 0 1184 chr19 10305000 10306000 0.000 0.080 DNMT1 0.48980 0 1185 chr19 10335000 10336000 0.000 0.040 S1PR2 1.00000 1 1186 chr19 10340000 10341000 0.080 0.160 S1PR2 0.66710 1 1187 chr19 10341000 10342000 0.120 0.280 S1PR2 0.28902 1 1188 chr19 16030000 16031000 0.000 0.000 CYP4F11 1.00000 0 1189 chr19 16436000 16437000 0.040 0.000 KLF2 1.00000 1 1190 chr19 20889000 20890000 0.000 0.040 ZNF626 1.00000 0 1191 chr19 21073000 21074000 0.040 0.000 ZNF85 1.00000 0 1192 chr19 21092000 21093000 0.000 0.040 ZNF85 1.00000 0 1193 chr19 23841000 23842000 0.040 0.000 ZNF675 1.00000 0 1194 chr19 29256000 29257000 0.040 0.000 UQCRFS1 1.00000 0 1195 chr19 44183000 44184000 0.040 0.000 PLAUR 1.00000 0 1196 chr19 50399000 50400000 0.040 0.040 IL4I1 1.00000 0 1197 chr19 53419000 53420000 0.000 0.000 ZNF321P; ZNF816; 1.00000 0 ZNF816- ZNF321PZNF321PZNF816- ZNF321P; 1198 chr20 15470000 15471000 0.000 0.040 MACROD2 1.00000 0 1199 chr20 23359000 23360000 0.000 0.000 NAPB 1.00000 0 1200 chr20 23912000 23913000 0.000 0.000 CST5 1.00000 0 1201 chr20 46131000 46132000 0.040 0.120 NCOA3 0.60921 1 1202 chr20 49127000 49128000 0.000 0.000 PTPN1 1.00000 0 1203 chr20 49648000 49649000 0.040 0.000 KCNG1 1.00000 0 1204 chr20 61607000 61608000 0.000 0.000 SLC17A9 1.00000 0 1205 chr21 21597000 21598000 0.000 0.000 NCAM2 1.00000 0 1206 chr21 23458000 23459000 0.000 0.040 NCAM2 1.00000 0 1207 chr21 24998000 24999000 0.000 0.040 MRPL39 1.00000 0 1208 chr21 26935000 26936000 0.000 0.080 MRPL39 0.48980 0 1209 chr21 35779000 35780000 0.000 0.000 SMIM11 1.00000 0 1210 chr21 38779000 38780000 0.000 0.000 DYRK1A 1.00000 0 1211 chr21 43254000 43255000 0.000 0.040 PRDM15 1.00000 0 1212 chr21 44612000 44613000 0.000 0.000 CRYAA 1.00000 0 1213 chr21 45381000 45382000 0.040 0.000 AGPAT3 1.00000 0 1214 chr21 46058000 46059000 0.000 0.000 KRTAP10-10 1.00000 0 1215 chr22 19050000 19051000 0.000 0.000 DGCR2 1.00000 0 1216 chr22 20212000 20213000 0.040 0.000 RTN4R 1.00000 0 1217 chr22 20708000 20709000 0.040 0.040 FAM230A 1.00000 0 1218 chr22 21994000 21995000 0.000 0.000 SDF2L1 1.00000 0 1219 chr22 22379000 22380000 0.040 0.040 IGLV4-69 1.00000 0 1220 chr22 22380000 22381000 0.040 0.080 IGLV4-69 1.00000 0 1221 chr22 22381000 22382000 0.040 0.040 IGLV4-69 1.00000 0 1222 chr22 22385000 22386000 0.040 0.080 IGLV4-69 1.00000 0 1223 chr22 22452000 22453000 0.000 0.040 IGLV8-61 1.00000 0 1224 chr22 22453000 22454000 0.000 0.040 IGLV8-61 1.00000 0 1225 chr22 22516000 22517000 0.000 0.160 IGLV4-60 0.10986 0 1226 chr22 22517000 22518000 0.000 0.080 IGLV4-60 0.48980 0 1227 chr22 22550000 22551000 0.160 0.000 IGLV6-57 0.10986 0 1228 chr22 22569000 22570000 0.040 0.000 IGLV10-54 1.00000 0 1229 chr22 22676000 22677000 0.040 0.000 IGLV1-51 1.00000 0 1230 chr22 22677000 22678000 0.040 0.000 IGLV1-51 1.00000 0 1231 chr22 22707000 22708000 0.040 0.080 IGLV5-48 1.00000 0 1232 chr22 22712000 72713000 0.160 0.040 IGLV1-47 0.34868 0 1233 chr22 22723000 22724000 0.000 0.000 IGLV7-46 1.00000 0 1234 chr22 22724000 22725000 0.080 0.040 IGLV7-46 1.00000 0 1235 chr22 22730000 22731000 0.040 0.040 IGLV5-45 1.00000 0 1236 chr22 22731000 72732000 0.000 0.000 IGLV5-45 1.00000 0 1237 chr22 22735000 22736000 0.080 0.120 IGLV1-44 1.00000 0 1238 chr22 22749000 22750000 0.120 0.040 IGLV7-43 0.60921 0 1239 chr22 22758000 22759000 0.080 0.040 IGLV1-40 1.00000 0 1240 chr22 22759000 22760000 0.080 0.080 IGLV1-40 1.00000 0 1241 chr22 22764000 22765000 0.120 0.080 IGLV1-40 1.00000 0 1242 chr22 23028000 23029000 0.000 0.040 IGLV3-25 1.00000 0 1243 chr22 23029000 23030000 0.040 0.120 IGLV3-25 0.60921 0 1244 chr22 23035000 23036000 0.000 0.040 IGLV2-23 1.00000 0 1245 chr22 23039000 23040000 0.000 0.000 IGLV2-23 1.00000 0 1246 chr22 23040000 23041000 0.120 0.040 IGLV2-23 0.60921 0 1247 chr22 23041000 23042000 0.040 0.000 IGLV2-23 1.00000 0 1248 chr22 23055000 23056000 0.040 0.000 IGLV3-21 1.00000 0 1249 chr22 23063000 23064000 0.040 0.000 IGLV3-19 1.00000 0 1250 chr22 23090000 23091000 0.120 0.000 IGLV3-16 0.23469 0 1251 chr22 23100000 23101000 0.040 0.000 1GLV2-14 1.00000 0 1252 chr22 23101000 23102000 0.120 0.040 IGLV2-14 0.60921 0 1253 chr22 23114000 23115000 0.000 0.000 IGLV3-12 1.00000 0 1254 chr22 23134000 23135000 0.000 0.000 IGLV2-11 1.00000 0 1255 chr22 23154000 23155000 0.120 0.000 IGLV3-10 0.23469 0 1256 chr22 23161000 23162000 0.000 0.000 IGLV3-9 1.00000 0 1257 chr22 23162000 23163000 0.000 0.000 IGLV3-9 1.00000 0 1258 chr22 23165000 23166000 0.000 0.000 IGLV2-8 1.00000 0 1259 chr22 23192000 23193000 0.080 0.080 IGLV4-3 1.00000 0 1260 chr22 23197000 23198000 0.040 0.000 IGLV4-3 1.00000 0 1261 chr22 23198000 23199000 0.160 0.040 IGLV4-3 0.34868 0 1262 chr22 23199000 23200000 0.200 0.200 IGLV4-3 1.00000 0 1263 chr22 23203000 23204000 0.000 0.000 IGLV4-3 1.00000 0 1264 chr22 23204000 23205000 0.080 0.000 IGLV4-3 0.48980 0 1265 chr22 23205000 23206000 0.000 0.000 IGLV4-3 1.00000 0 1266 chr22 23207000 23208000 0.000 0.040 IGLV4-3 1.00000 0 1267 chr22 23209000 23213000 0.000 0.040 IGLV4-3 1.00000 0 1268 chr22 23213000 23214000 0.120 0.040 IGLV4-3 0.60921 0 1269 chr22 23214000 23215000 0.040 0.040 IGLV4-3 1.00000 0 1270 chr22 23219000 23220000 0.080 0.000 IGLV3-1 0.48980 0 1271 chr22 23220000 23221000 0.080 0.000 IGLV3-1 0.48980 0 1272 chr22 23222000 23223000 0.040 0.120 IGLV3-1 0.60921 0 1273 chr22 23223000 23224000 0.320 0.520 IGLV3-1 0.25159 0 1274 chr22 23224000 23225000 0.080 0.080 IGLV3-1 1.00000 0 1275 chr22 23226000 23227000 0.120 0.000 IGLV3-1 0.23469 0 1276 chr22 23227000 23228000 0.200 0.360 IGLL5 0.34513 0 1277 chr22 23128000 23229000 0.240 0.200 IGLL5 1.00000 0 1278 chr22 23229000 23230000 0.040 0.160 IGLL5 0.34868 0 1279 chr22 23230000 23231000 0.440 0.600 IGLL5 0.39610 0 1280 chr22 23231000 23232000 0.480 0.440 IGLL5 1.00000 0 1281 chr22 23232000 13233000 0.320 0.240 IGLL5 0.75361 0 1282 chr22 23233000 23234000 0.200 0.040 IGLJ1 0.18946 0 1283 chr22 23234000 23235000 0.200 0.080 IGLJ1 0.41743 0 1284 chr22 23235000 23236000 0.320 0.080 IGHJ1; IGLL5; 0.07375 0 1285 chr22 23236000 13237000 0.240 0.200 IGHJ1; IGLL5; 1.00000 0 1286 chr22 23237000 23238000 0.040 0.160 IGLC1; IGLL5; 0.34868 0 1287 chr22 23241000 23242000 0.040 0.040 IGLJ2 1.00000 0 1288 chr22 23242000 23243000 0.120 0.040 IGLC2 0.60921 0 1289 chr22 23243000 23244000 0.080 0.040 IGLC2 1.00000 0 1290 chr22 23244000 23245000 0.000 0.040 IGLC2 1.00000 0 1291 chr22 23247000 23248000 0.280 0.160 IGLJ3 0.49620 0 1292 chr22 23248000 23249000 0.040 0.000 IGLC3 1.00000 0 1293 chr22 23249000 23250000 0.040 0.000 IGLC3 1.00000 0 1294 chr22 23260000 23261000 0.000 0.000 IGLJ6 1.00000 0 1295 chr22 23261000 23262000 0.000 0.000 IGLJ6 1.00000 0 1296 chr22 23263000 23264000 0.000 0.040 IGLJ7 1.00000 0 1297 chr22 23264000 23265000 0.000 0.040 IGLC7 1.00000 0 1298 chr22 23273000 23274000 0.000 0.040 IGLC7 1.00000 0 1299 chr22 23277000 23278000 0.040 0.040 IGLC7 1.00000 0 1300 chr22 23278000 23279000 0.000 0.120 IGLC7 0.23469 0 1301 chr22 23281000 23282000 0.040 0.000 IGLC7 1.00000 0 1302 chr22 23282000 23283000 0.080 0.160 IGLC7 0.66710 0 1303 chr22 23284000 23285000 0.000 0.000 IGLC7 1.00000 0 1304 chr22 23523000 23524000 0.000 0.080 BCR 0.48980 0 1305 chr22 23524000 23525000 0.000 0.000 BCR 1.00000 0 1306 chr22 27236000 27237000 0.000 0.000 CRYBA4 1.00000 0 1307 chr22 29195000 29196000 0.040 0.040 XBP1 1.00000 0 1308 chr22 29196000 29197000 0.040 0.040 XBP1 1.00000 0 1309 chr22 31826000 31827000 0.040 0.000 DRG1 1.00000 0 1310 chr22 32982000 32983000 0.000 0.040 SYN3 1.00000 0 1311 chr22 39852000 39853000 0.040 0.000 TAB1 1.00000 0 1312 chr22 39854000 39855000 0.000 0.000 TAB1 1.00000 0 1313 chr22 43360000 43361000 0.000 0.000 PACSIN2 1.00000 0 1314 chr22 47186000 47187000 0.000 0.000 TBC1D22A 1.00000 0 1315 chr22 47738000 47739000 0.000 0.000 LL22NC03- 1.00000 0 75H12.2 1316 chr22 50336000 50337000 0.000 0.000 CRELD2 1.00000 0 1317 chrX 228000 229000 0.000 0.000 GTPBP6 1.00000 0 1318 chrX 1514000 1515000 0.000 0.040 SLC25A6 1.00000 0 1319 chrX 1611000 1612000 0.040 0.040 P2RY8 1.00000 1 1320 chrX 12993000 12994000 0.320 0.280 TMSB4X 1.00000 I 1321 chrX 12994000 12995000 0.200 0.160 TMSB4X 1.00000 1 1322 chrX 13419000 13420000 0.000 0.040 ATXN3L 1.00000 0 1323 chrX 27031000 27037000 0.080 0.040 DCAF8L2 1.00000 0 1324 chrX 32315000 32316000 0.000 0.000 DMD 1.00000 I 1325 chrX 32317000 32318000 0.000 0.000 DMD 1.00000 1 1326 chrX 33144000 33145000 0.000 0.000 DMD 1.00000 1 1327 chrX 33145000 33146000 0.000 0.040 DMD 1.00000 1 1328 chrX 33146000 33147000 0.080 0.120 DMD 1.00000 I 1329 chrX 41366000 41367000 0.040 0.000 CASK 1.00000 0 1330 chrX 42802000 42803000 0.080 0.120 MAOA 1.00000 0 1331 chrX 48775000 48776000 0.120 0.040 PIM2 0.60921 1 1332 chrX 48776000 48777000 0.080 0.000 PIM2 0.48980 I 1333 chrX 64071000 64072000 0.120 0.080 ZC4H2 1.00000 0 1334 chrX 67030000 67031000 0.000 0.000 AR 1.00000 0 1335 chrX 80258000 80259000 0.000 0.000 HMGN5 1.00000 0 1336 chrX 81172000 81173000 0.040 0.000 SH3BGRL 1.00000 0 1337 chrX 87742000 87743000 0.040 0.000 CPXCR1 1.00000 0 1338 chrX 87831000 87832000 0.000 0.000 CPXCR1 1.00000 0 1339 chrX 88263000 88264000 0.000 0.000 CPXCR1 1.00000 0 1340 chrX 88458000 88459000 0.040 0.000 CPXCR1 1.00000 0 1341 chrX 92647000 92648000 0.000 0.000 NAP1L3 1.00000 0 1342 chrX 93279000 93280000 0.040 0.000 FAM133A 1.00000 0 1343 chrX 94079000 94080000 0.040 0.000 FAM133A 1.00000 0 1344 chrX 104006000 104007000 0.040 0.000 IL1RAPL2 1.00000 0 1345 chrX 104269000 104270000 0.040 0.000 IL1RAPL2 1.00000 0 1346 chrX 106132000 106133000 0.000 0.000 RIPPLY1 1.00000 0 1347 chrX 113095000 113096000 0.000 0.040 HTR2C 1.00000 0 1348 chrX 115676000 115677000 0.040 0.000 CXorf61 1.00000 0 1349 chrX 124996000 124997000 0.000 0.000 DCAF12L2 1.00000 0 1350 chrX 125708000 125709000 0.000 0.000 DCAF12L1 1.00000 0 1351 chrX 128565000 128566000 0.040 0.040 SMARCA1 1.00000 0 1352 chrX 129643000 129644000 0.000 0.040 RBMX2 1.00000 0 1353 chrX 134903000 134904000 0.000 0.000 CT45A3; CT45A4; 1.00000 0 1354 chrX 140846000 140847000 0.040 0.000 SPANXD; SPANXE; 1.00000 0 1355 chrX 143750000 143751000 0.000 0.000 SPANXN1 1.00000 0 1356 chrX 145016000 145017000 0.040 0.000 TMEM257 1.00000 0

Chro- mo- Region Region Reason for # some Start End Closest Gene Inclusion 1 chr1  2306311 2306832 MORN1 Genotyping 2 chr1  2334441 2334664 RER1 Genotyping 3 chr1  2334671 2335161 RER1 Genotyping 4 chr1  2488006 2488247 TNFRSF14 Phased Variants 5 chr1  2489111 2489330 TNFRSF14 Genotyping 6 chr1  2489726 2489973 TNFRSF14 Genotyping 7 chr1  2491206 2491455 TNFRSF14 Genotyping 8 chr1  2492036 2492175 TNFRSF14 Genotyping 9 chr1  2493051 2493333 TNFRSF14 Genotyping 10 chr1  2494241 2494376 TNFRSF14 Genotyping 11 chr1  2494556 2494745 TNFRSF14 Genotyping 12 chr1  3547350 3547715 WRP73 Genotyping 13 chr1  3747620 3747798 CEP104 Genotyping 14 chr1  3800045 3800148 DFFB Genotyping 15 chr1  3800155 3800363 DFFB Genotyping 16 chr1  4472438 4472621 AJAP1 Genotyping 17 chr1  4476348 4476627 AJAP1 Genotyping 18 chr1  9784432 9784540 PIK3CD Genotyping 19 chr1  23885407 23885541 ID3 Genotyping 20 chr1  23885582 23885938 ID3 Genotyping 21 chr1  27059146 27059321 ARID1A Genotyping 22 chr1  27101071 27101294 ARID1A Genotyping 23 chr1  27101401 27101613 ARID1A Genotyping 24 chr1  27105466 27105671 ARID1A Genotyping 25 chr1  27106311 27106523 ARID1A Genotyping 26 chr1  27106711 27106920 ARID1A Genotyping 27 chr1  29069531 29070185 YTHDF2 Genotyping 28 chr1  34404022 34404171 CSMD2 Phased Variants 29 chr1  35472492 35472739 ZMYM6 Genotyping 30 chr1  61553802 61554330 NFIA Genotyping 31 chr1  72334891 72335045 NEGR1 Phased Variants 32 chr1  72335051 72335120 NEGR1 Phased Variants 33 chr1  85733207 85733640 BCL10 Phased Variants 34 chr1  85736272 85736619 BCL10 Genotyping 35 chr1  85741932 85742068 BCL10 Genotyping 36 chr1  86591437 86591909 COL24A1 Genotyping 37 chr1  107866871 107867579 NTNG1 Genotyping 38 chr1  109649126 109649304 C1orf194 Genotyping 39 chr1  109822181 109822805 PSRC1 Genotyping 40 chr1  110561141 110561757 AHCYL1 Genotyping 41 chr1  111441722 111442219 CD53 Genotyping 42 chr1  111715727 111715908 CEPT1 Genotyping 43 chr1  117078642 117078856 CD58 Genotyping 44 chr1  117086927 117087172 CD58 Genotyping 45 chr1  120457960 120459297 NOTCH2 Genotyping 46 chr1  160319283 160319532 NCSTN Genotyping 47 chr1  181452914 181453131 CACNA1E Genotyping 48 chr1  185833555 185833832 HMCN1 Genotyping 49 chr1  185972790 185973006 HMCN1 Genotyping 50 chr1  186062580 186062797 HMCN1 Genotyping 51 chr1  186083050 186083301 HMCN1 Genotyping 52 chr1  186143590 186143828 HMCN1 Genotyping 53 chr1  186158895 186159102 HMCN1 Genotyping 54 chr1  190067139 190068194 FAM5C Genotyping 55 chr1  201038552 201038756 CACNA1S Genotyping 56 chr1  203274697 203275926 BTG2 Phased Variants 57 chr1  203276207 203276586 BTG2 Genotyping 58 chr1  226923691 226925200 ITPKB Phased Variants 59 chr1  227842646 227842718 ZNF678 Genotyping 60 chr2  1652010 1652858 PXDN Genotyping 61 chr2  48027958 48028159 MSH6 Genotyping 62 chr2  48059883 48060051 FBXO11 Genotyping 63 chr2  48065973 48066184 FBXO11 Genotyping 64 chr2  55237198 55237610 RTN4 Genotyping 65 chr2  56149510 56150116 EFEMP1 Genotyping 66 chr2  58520800 58521222 FANCL Genotyping 67 chr2  59821914 59822083 BCL11A Genotyping 68 chr2  60773084 60773479 BCL11A Genotyping 69 chr2  61118794 61118998 REL Genotyping 70 chr2  61145504 61145785 REL Genotyping 71 chr2  61148869 61149644 REL Genotyping 72 chr2  61441169 61441870 USP34 Genotyping 73 chr2  61719434 61719642 XPO1 Genotyping 74 chr2  62934009 62934460 EHBP1 Genotyping 75 chr2  63217829 63218002 EHBP1 Genotyping 76 chr2  63335242 63335600 WDPCP Genotyping 77 chr2  63631157 63631817 WDPCP Genotyping 78 chr2  63826277 63826429 MDH1 Genotyping 79 chr2  65258145 65258367 SLC1A4 Phased Variants 80 chr2  65593035 65593153 SPRED2 Phased Variants 81 chr2  65593180 65593250 SPRED2 Phased Variants 82 chr2  77746602 77746988 LRRTM4 Genotyping 83 chr2  80801235 80801513 CTNNA2 Genotyping 84 chr2  88906681 88906861 EIF2AK3 Phased Variants 85 chr2  89127261 89127335 IGKC Phased Variants 86 chr2  89127461 89127946 IGKC Phased Variants 87 chr2  89128431 89128574 IGKC Phased Variants 88 chr2  89131726 89132295 IGKC Phased Variants 89 chr2  89140556 89140755 IGKC Phased Variants 90 chr2  89140886 89141350 IGKC Phased Variants 91 chr2  89157326 89157609 IGKC Phased Variants 92 chr2  89157626 89158011 IGKC Phased Variants 93 chr2  89158036 89158938 IGKC Phased Variants 94 chr2  89158941 89159493 IGKJ5 Phased Variants 95 chr2  89159511 89161445 IGKJ1 Phased Variants 96 chr2  89161926 89162149 IGKJ1 Phased Variants 97 chr2  89162776 89163285 IGKJ1 Phased Variants 98 chr2  89163306 89163837 IGKJ1 Phased Variants 99 chr2  89163861 89164838 IGKJ1 Phased Variants 100 chr2  89164866 89165181 IGKJ1 Phased Variants 101 chr2  89165191 89165644 IGKJ1 Phased Variants 102 chr2  89184966 89185186 IGKV4-1 Phased Variants 103 chr2  89185196 89185704 IGKV4-1 Phased Variants 104 chr2  89196226 89196411 IGKV5-2 Phased Variants 105 chr2  89196851 89197324 IGKV5-2 Phased Variants 106 chr2  89214836 89215040 IGKV5-2 Phased Variants 107 chr2  89246681 89246772 IGKV1-5 Phased Variants 108 chr2  89246786 89246857 IGKV1-5 Phased Variants 109 chr2  89246911 89247053 IGKV1-5 Phased Variants 110 chr2  89247096 89247215 IGKV1-5 Phased Variants 111 chr2  89247526 89247628 IGKV1-5 Phased Variants 112 chr2  89247641 89247735 IGKV1-5 Phased Variants 113 chr2  89247831 89248010 IGKV1-5 Phased Variants 114 chr2  89265756 89265829 IGKV1-6 Genotyping 115 chr2  89265936 89266013 IGKV1-6 Genotyping 116 chr2  89291906 89291981 IGKV1-8 Phased Variants 117 chr2  89292131 89292217 IGKV1-8 Phased Variants 118 chr2  89442291 89442561 IGKV3-20 Phased Variants 119 chr2  89442616 89443259 IGKV3-20 Phased Variants 120 chr2  89475781 89476009 IGKV2-24 Genotyping 121 chr2  89476041 89476122 IGKV2-24 Genotyping 122 chr2  89544331 89544608 IGKV2-30 Genotyping 123 chr2  89544656 89544899 IGKV2-30 Phased Variants 124 chr2  89976276 89976426 IGKV2D-30 Genotyping 125 chr2  89986776 89987023 IGKV2D-29 Genotyping 126 chr2  89987031 89987108 IGKV2D-29 Genotyping 127 chr2  90025206 90025289 IGKV2D-26 Genotyping 128 chr2  90025296 90025378 IGKV2D-26 Genotyping 129 chr2  90025471 90025554 IGKV2D-26 Genotyping 130 chr2  90077981 90078054 IGKV3D-20 Genotyping 131 chr2  90078136 90078222 IGKV3D-20 Genotyping 132 chr2  90078251 90078335 IGKV3D-20 Genotyping 133 chr2  90121891 90122008 IGKV1D-17 Genotyping 134 chr2  90122021 90122157 IGKV1D-17 Genotyping 135 chr2  90212016 90212093 IGKV3D-11 Genotyping 136 chr2  90212196 90212278 IGKV3D-11 Genotyping 137 chr2  90249151 90249275 IGKV1D-43 Genotyping 138 chr2  90249346 90249419 IGKV1D-43 Genotyping 139 chr2  90259931 90260059 IGKV1D-8 Genotyping 140 chr2  90260181 90260258 IGKV1D-8 Genotyping 141 chr2  96809889 96810144 DUSP2 Genotyping 142 chr2  96810164 96810374 DUSP2 Phased Variants 143 chr2  100758483 100758660 AFF3 Phased Variants 144 chr2  103148733 103148948 SLC9A4 Genotyping 145 chr2  117951919 117952057 DDX18 Phased Variants 146 chr2  136872525 136872740 CXCR4 Genotyping 147 chr2  136874415 136874797 CXCR4 Phased Variants 148 chr2  136874920 136875662 CXCR4 Phased Variants 149 chr2  141245127 141245373 LRP1B Genotyping 150 chr2  145162401 145162624 ZEB2 Genotyping 151 chr2  145187091 145187638 ZEB2 Genotyping 152 chr2  145270956 145271394 ZEB2 Genotyping 153 chr2  145275631 145275744 ZEB2 Genotyping 154 chr2  145275756 145276174 ZEB2 Genotyping 155 chr2  145278026 145278305 ZEB2 Genotyping 156 chr2  145278311 145278659 ZEB2 Genotyping 157 chr2  145692901 145693081 ZEB2 Genotyping 158 chr2  148680516 148680692 ACVR2A Genotyping 159 chr2  169781120 169781352 ABCB11 Genotyping 160 chr2  170101185 170101401 LRP2 Genotyping 161 chr2  198950434 198951003 PLCL1 Genotyping 162 chr2  242793232 242793447 PDCD1 Genotyping 163 chr2  242794037 242794192 PDCD1 Genotyping 164 chr2  242794317 242794537 PDCD1 Genotyping 165 chr2  242794822 242795040 PDCD1 Genotyping 166 chr2  242800887 242801093 PDCD1 Genotyping 167 chr3  7620223 7620990 GRM7 Genotyping 168 chr3  16419204 16419479 RFTN1 Phased Variants 169 chr3  38180129 38180549 MYD88 Genotyping 170 chr3  38181334 38181509 MYD88 Genotyping 171 chr3  38181854 38182099 MYD88 Genotyping 172 chr3  38182194 38182407 MYD88 Genotyping 173 chr3  38182554 38182844 MYD88 Genotyping 174 chr3  49397608 49397717 RHOA Genotyping 175 chr3  49397718 49397827 RHOA Genotyping 176 chr3  49399903 49400084 RHOA Genotyping 177 chr3  49405833 49406013 RHOA Genotyping 178 chr3  49412838 49413046 RHOA Genotyping 179 chr3  64547204 64547477 ADAMTS9 Genotyping 180 chr3  64579889 64580094 ADAMTS9 Genotyping 181 chr3  71551101 71551497 EIF4E3 Phased Variants 182 chr3  140281598 140281875 CLSTN2 Genotyping 183 chr3  164730700 164730888 SI Genotyping 184 chr3  165548198 165548680 BCHE Genotyping 185 chr3  176750699 176750928 TBL1XR1 Genotyping 186 chr3  176767759 176767977 TBL1XR1 Genotyping 187 chr3  176769304 176769543 TBL1XR1 Genotyping 188 chr3  176771659 176771732 TBL1XR1 Genotyping 189 chr3  183209758 183209937 KLHL6 Genotyping 190 chr3  183210258 183210544 KLHL6 Genotyping 191 chr3  183272308 183272521 KLHL6 Phased Variants 192 chr3  183273063 183273456 KLHL6 Phased Variants 193 chr3  184580663 184580872 VPS8 Genotyping 194 chr3  185146278 185146873 MAP3K13 Genotyping 195 chr3  185197923 185198317 MAP3K13 Genotyping 196 chr3  185236908 185237109 LIPH Genotyping 197 chr3  185446223 185446389 C3orf65 Genotyping 198 chr3  185538773 185538951 IGF2BP2 Genotyping 199 chr3  185697423 185697669 TRA2B Genotyping 200 chr3  186714604 186715001 ST6GAL1 Phased Variants 201 chr3  186782529 186782790 ST6GAL1 Phased Variants 202 chr3  186783389 186784291 ST6GAL1 Phased Variants 203 chr3  187440189 187440445 BCL6 Genotyping 204 chr3  187442669 187442920 BCL6 Genotyping 205 chr3  187443239 187443438 BCL6 Genotyping 206 chr3  187446814 187447831 BCL6 Genotyping 207 chr3  187449434 187449655 BCL6 Genotyping 208 chr3  187451284 187451667 BCL6 Genotyping 209 chr3  187460134 187460530 BCL6 Phased Variants 210 chr3  187460824 187461302 BCL6 Phased Variants 211 chr3  187461319 187461381 BCL6 Phased Variants 212 chr3  187461454 187461918 BCL6 Phased Variants 213 chr3  187461924 187462343 BCL6 Phased Variants 214 chr3  187462374 187462887 BCL6 Phased Variants 215 chr3  187462924 187462999 BCL6 Phased Variants 216 chr3  187463004 187463525 BCL6 Phased Variants 217 chr3  187463709 187463781 BCL6 Phased Variants 218 chr3  187463794 187464109 BCL6 Phased Variants 219 chr3  187619334 187619708 BCL6 Phased Variants 220 chr3  187660817 187661390 BCL6 Phased Variants 221 chr3  187957432 187957507 AC022498.1 Phased Variants 222 chr3  187957512 187957754 AC022498.1 Phased Variants 223 chr3  187957767 187958110 AC022498.1 Phased Variants 224 chr3  187958282 187958675 AC022498.1 Phased Variants 225 chr3  187958787 187959184 AC022498.1 Phased Variants 226 chr3  187959462 187959686 AC022498.1 Phased Variants 227 chr3  188299217 188299605 LPP Phased Variants 228 chr3  188471412 188471549 LPP Phased Variants 229 chr3  188471567 188471937 LPP Phased Variants 230 chr4  7728456 7728661 SORCS2 Genotyping 231 chr4  40198810 40199653 N4BP2 Phased Variants 232 chr4  40199660 40199873 N4BP2 Phased Variants 233 chr4  40199990 40200211 N4BP2 Phased Variants 234 chr4  40200505 40200727 RHOH Phased Variants 235 chr4  40200730 40201571 RHOH Phased Variants 236 chr4  80327792 80328151 GK2 Genotyping 237 chr4  88011077 88011285 AFF1 Genotyping 238 chr4  106157604 106157813 TET2 Genotyping 239 chr4  134727698 134727916 PABPC4L Phased Variants 240 chr4  153249285 153249507 FBXW7 Genotyping 241 chr4  154624670 154625050 TLR2 Genotyping 242 chr4  187509884 187510410 FAT1 Genotyping 243 chr4  187557779 187557985 FAT1 Genotyping 244 chr4  188924114 188924897 ZFP42 Genotyping 245 chr5  5182145 5182494 ADAMTS16 Genotyping 246 chr5  11110990 11111137 CTNND2 Genotyping 247 chr5  11236740 11236956 CTNND2 Genotyping 248 chr5  11364700 11364923 CTNND2 Genotyping 249 chr5  11397080 11397377 CTNND2 Genotyping 250 chr5  11411600 11411807 CTNND2 Genotyping 251 chr5  13864465 13864696 DNAH5 Genotyping 252 chr5  21783415 21783668 CDH12 Genotyping 253 chr5  54964698 54964921 SLC38A9 Phased Variants 254 chr5  67590966 67591183 PIK3R1 Genotyping 255 chr5  75913716 75914448 F2RL2 Genotyping 256 chr5  83258967 83259183 EDIL3 Genotyping 257 chr5  112176756 112176958 APC Genotyping 258 chr5  124079827 124080721 ZNF608 Phased Variants 259 chr5  131825017 131825239 IRF1 Genotyping 260 chr5  135381969 135382218 TGFBI Genotyping 261 chr5  137801487 137801637 EGR1 Genotyping 262 chr5  137801697 137801804 EGR1 Genotyping 263 chr5  140208033 140208874 PCDHA6 Genotyping 264 chr5  158527642 158528019 EBF1 Phased Variants 265 chr5  176522449 176522613 FGFR4 Genotyping 266 chr6  392760 392967 IRF4 Phased Variants 267 chr6  393090 393309 IRF4 Phased Variants 268 chr6  394815 395025 IRF4 Genotyping 269 chr6  14117992 14118654 CD83 Phased Variants 270 chr6  14131732 14132021 CD83 Genotyping 271 chr6  14133857 14133996 CD83 Genotyping 272 chr6  14135317 14135496 CD83 Genotyping 273 chr6  26020709 26020958 HIST1H3A Genotyping 274 chr6  26032014 26032217 HIST1H3B Genotyping 275 chr6  26045744 26046077 HIST1H3C Genotyping 276 chr6  26056034 26056315 HIST1H1C Genotyping 277 chr6  26056319 26056558 HIST1H1C Genotyping 278 chr6  26123614 26123778 HIST1H2BC Phased Variants 279 chr6  26123879 26124098 HIST1H2BC Genotyping 280 chr6  26124544 2612464 HIST1H2AC Genotyping 281 chr6  26124714 26124889 HIST1H2AC Genotyping 282 chr6  26156649 26157377 HIST1H1E Phased Variants 283 chr6  26158529 26158608 HIST1H2BD Genotyping 284 chr6  26158739 26158835 HIST1H2BD Genotyping 285 chr6  26197104 26197182 HIST1H3D Genotyping 286 chr6  26197189 26197465 HIST1H3D Genotyping 287 chr6  26216779 26216920 HIST1H2BG Genotyping 288 chr6  26217214 26217431 HIST1H2AE Genotyping 289 chr6  26234654 26234976 HISTIH1D Genotyping 290 chr6  26250459 26250537 HIST1H3F Genotyping 291 chr6  26250594 26250703 HIST1H3F Genotyping 297 chr6  26252154 26252232 HIST1H2BH Genotyping 293 chr6  27100079 27100185 HIST1H2BJ Genotyping 294 chr6  27100939 27101039 HIST1H2AG Genotyping 295 chr6  27101159 27101300 HIST1H2AG Genotyping 296 chr6  27114004 27114216 HIST1H2BK Phased Variants 297 chr6  27114319 27114396 HIST1H2BK Genotyping 298 chr6  27114494 27114592 HIST1H2BK Genotyping 299 chr6  27277284 27277495 POM121L2 Genotyping 300 chr6  27777783 27777900 HIST1H3H Genotyping 301 chr6  27777928 27778106 HIST1H3H Genotyping 302 chr6  27782718 27782926 HIST1H2BM Genotyping 303 chr6  27799168 27799381 HIST1H4K Genotyping 304 chr6  27833408 27833516 HIST1H2AL Genotyping 305 chr6  27834968 27835075 HIST1H1B Genotyping 306 chr6  27839658 27839805 HIST1H3I Genotyping 307 chr6  27860479 27860659 HIST1H2AM Genotyping 308 chr6  27860794 27860938 HIST1H2AM Genotyping 309 chr6  27861244 27861344 HIST1H2BO Genotyping 310 chr6  27861399 27861485 HIST1H2BO Genotyping 311 chr6  37138284 37139559 PIMI Phased Variants 312 chr6  37140749 37140956 PIM1 Genotyping 313 chr6  37141679 37141903 PIMI Genotyping 314 chr6  41903611 41903834 CCND3 Genotyping 315 chr6  41904271 41904477 CCND3 Genotyping 316 chr6  41904941 41905155 CCND3 Genotyping 317 chr6  41908071 41908365 CCND3 Genotyping 318 chr6  41909196 41909441 CCND3 Genotyping 319 chr6  75965846 75966046 TMEM30A Genotyping 320 chr6  75969006 75969288 TMEM30A Genotyping 321 chr6  91004618 91004828 MAP3K7 Phased Variants 322 chr6  91005793 91005998 MAP3K7 Phased Variants 323 chr6  94120219 94120743 EPHA7 Genotyping 324 chr6  106534266 106534477 PRDM1 Genotyping 325 chr6  106536046 106536340 PRDM1 Genotyping 326 chr6  106543466 106543637 PRDM1 Genotyping 327 chr6  106547146 106547437 PRDM1 Genotyping 328 chr6  106552761 106552932 PRDM1 Genotyping 329 chr6  106552961 106553841 PRDM1 Genotyping 330 chr6  106554221 106554400 PRDM1 Genotyping 331 chr6  106554766 106555383 PRDM1 Genotyping 332 chr6  108040228 108040856 SCML4A Genotyping 333 chr6  108041553 108042219 SCML4 Genotyping 334 chr6  110777718 110778244 SLC22A16 Genotyping 335 chr6  134491382 134491589 SGK1 Genotyping 336 chr6  134491892 134492111 SGK1 Genotyping 337 chr6  134492132 134492333 SGK1 Genotyping 338 chr6  134492717 134492923 SGK1 Genotyping 339 chr6  134493307 134493474 SGK1 Genotyping 340 chr6  134493732 134494308 SGK1 Phased Variants 341 chr6  134494342 134494514 SGK1 Genotyping 342 chr6  134494552 134494718 SGK1 Phased Variants 343 chr6  134494722 134494795 SGK1 Phased Variants 344 chr6  134494967 134495974 SGK1 Phased Variants 345 chr6  138188483 138188650 TNFAIP3 Genotyping 346 chr6  138192338 138192683 TNFAIP3 Genotyping 347 chr6  138195963 138196172 TNFAIP3 Genotyping 348 chr6  138196803 138197021 TNFAIP3 Genotyping 349 chr6  138197108 138197313 TNFAIP3 Genotyping 350 chr6  138198193 138198407 TNFAIP3 Genotyping 351 chr6  138199548 138200525 TNFAIP3 Genotyping 352 chr6  138201178 138201404 TNFAIP3 Genotyping 353 chr6  138202138 138202494 TNFAIP3 Genotyping 354 chr6  150954420 150954823 PLEKHG1 Phased Variants 355 chr6  159238415 159238794 EZR Phased Variants 356 chr7  2963818 2963952 CARD11 Genotyping 357 chr7  2963953 7964056 CARD11 Genotyping 358 chr7  2969593 2969738 CARD11 Genotyping 359 chr7  2976668 2976876 CARD11 Genotyping 360 chr7  2977493 2977712 CARD11 Genotyping 361 chr7  2978258 2978502 CARD11 Genotyping 362 chr7  2979398 2979601 CARD11 Genotyping 363 chr7  2983918 2984199 CARD11 Genotyping 364 chr7  2985403 2985610 CARD11 Genotyping 365 chr7  2987163 2987382 CARD11 Genotyping 366 chr7  5569095 5569200 ACTB Genotyping 367 chr7  5569210 5569359 ACTB Genotyping 368 chr7  80285799 80286074 CD36 Genotyping 369 chr7  82387830 82388061 PCLO Genotyping 370 chr7  82453520 82453733 PCLO Genotyping 371 chr7  82763800 82764050 PCLO Genotyping 377 chr7  82784490 82784643 PCLO Genotyping 373 chr7  106508490 106509161 PIK3CG Genotyping 374 chr7  110545276 110545445 IMMP2L Phased Variants 375 chr7  110697971 110698144 LRRN3 Phased Variants 376 chr7  110737411 110737634 LRRN3 Phased Variants 377 chr7  110746681 110746893 LRRN3 Phased Variants 378 chr7  110762936 110764629 LRRN3 Genotyping 379 chr7  110764636 110764981 LRRN3 Genotyping 380 chr7  119915406 119915800 KCND2 Genotyping 381 chr7  122634905 122635140 TAS2R16 Genotyping 382 chr7  140453012 140453121 BRAF Genotyping 383 chr7  140453162 140453268 BRAF Genotyping 384 chr7  146997183 146997422 CNTNAP2 Genotyping 385 chr7  148506318 148506416 EZH2 Genotyping 386 chr7  148506448 148506551 EZH2 Genotyping 387 chr7  148508658 148508867 EZH2 Genotyping 388 chr7  148513738 148513900 EZH2 Genotyping 389 chr7  148523533 148523743 EZH2 Genotyping 390 chr7  151943421 151943500 KMT2C Phased Variants 391 chr8  623880 624090 ERICH1 Genotyping 392 chr8  3141724 3141942 CSMD1 Genotyping 393 chr8  4494931 4495105 CSMD1 Genotyping 394 chr8  8748687 8749284 MFHAS1 Genotyping 395 chr8  8750067 8750281 MFHAS1 Genotyping 396 chr8  18729445 18729937 PSD3 Genotyping 397 chr8  75898190 75898400 CRISPLD1 Genotyping 398 chr8  101730376 101730457 PABPC1 Genotyping 399 chr8  103663491 103664160 KLF10 Genotyping 400 chr8  104897561 104898479 RIMS2 Genotyping 401 chr8  113308014 113308283 CSMD3 Genotyping 402 chr8  113364624 113364791 CSMD3 Genotyping 403 chr8  113568994 113569205 CSMD3 Genotyping 404 chr8  116616145 116616886 TRPS1 Genotyping 405 chr8  122626847 122627163 HAS2 Genotyping 406 chr8  128492947 128493338 POU5F1B Genotyping 407 chr8  128746807 128748893 MYC Genotyping 408 chr8  128748902 128749969 MYC Genotyping 409 chr8  128750367 128751183 MYC Phased Variants 410 chr8  128752612 128753235 MYC Genotyping 411 chr8  128754007 128754731 MYC Genotyping 412 chr8  128754752 128756424 MYC Genotyping 413 chr8  128756707 128756931 MYC Genotyping 414 chr8  128756947 128757361 MYC Genotyping 415 chr8  128757737 128757921 MYC Genotyping 416 chr8  128764072 128764292 MYC Genotyping 417 chr8  128951724 128951896 TMEM75 Genotyping 418 chr8  130692149 130692503 GSDMC Genotyping 419 chr8  130760594 130761023 GSDMC Genotyping 420 chr8  131373024 131373443 ASAP1 Genotyping 421 chr8  136569669 136569842 KHDRBS3 Genotyping 422 chr8  136659204 136659414 KHDRBS3 Genotyping 423 chr8  137101252 137101464 KRDRBS3 Genotyping 424 chr8  137528187 137528570 KHDRBS3 Genotyping 425 chr8  138849937 138850149 FAM135B Genotyping 426 chr8  139600457 139601255 COL22A1 Genotyping 427 chr8  139601392 139601569 COL22A1 Genotyping 428 chr9  5450474 5450616 CD274 Genotyping 429 chr9  5456059 5456200 CD274 Genotyping 430 chr9  5457054 5457446 CD274 Genotyping 431 chr9  5462809 5463160 CD274 Genotyping 432 chr9  5465489 5465622 CD274 Genotyping 433 chr9  5466724 5466867 CD274 Genotyping 434 chr9  5467814 5468022 CD274 Genotyping 435 chr9  5510589 5510804 PDCD1LG2 Genotyping 436 chr9  5527484 5522636 PDCD1LG2 Genotyping 437 chr9  5534764 5535047 PDCD1LG2 Genotyping 438 chr9  5549309 5549627 PDCD1LG2 Genotyping 439 chr9  5557589 5557762 PDCD1LG2 Genotyping 440 chr9  5563119 5563251 PDCD1LG2 Genotyping 441 chr9  5569929 5570140 PDCD1LG2 Genotyping 442 chr9  13222185 13222409 MPDZ Genotyping 443 chr9  16435498 16436307 BNC2 Genotyping 444 chr9  19957356 19958178 SLC24A2 Genotyping 445 chr9  20820916 20821095 FOCAD Genotyping 446 chr9  20946676 20946849 FOCAD Genotyping 447 chr9  21808814 21808891 MTAP Genotyping 448 chr9  21808894 21808973 MTAP Genotyping 449 chr9  21859249 21859469 MTAP Genotyping 450 chr9  21970834 21971023 CDKN2A Genotyping 451 chr9  21971069 21971170 CDKN2A Genotyping 452 chr9  21974409 21974881 CDKN2A Genotyping 453 chr9  21989304 21989976 CDKN2A Genotyping 454 chr9  21994084 21994405 CDKN2A Genotyping 455 chr9  22005929 77006067 CDKN2B Genotyping 456 chr9  22006109 22006187 CDKN2B Genotyping 457 chr9  22008649 22009012 CDKN2B Genotyping 458 chr9  24545399 24545922 IZUMO3 Genotyping 459 chr9  24905444 24905729 IZUMO3 Genotyping 460 chr9  27950144 27950532 LINGO2 Genotyping 461 chr9  37024919 37025642 PAX5 Phased Variants 462 chr9  37025829 37025996 PAX5 Phased Variants 463 chr9  37026269 37027015 PAX5 Phased Variants 464 chr9  37033619 37033797 PAX5 Phased Variants 465 chr9  37293169 37293378 ZCCHC7 Phased Variants 466 chr9  37371494 37371879 ZCCHC7 Phased Variants 467 chr9  37384684 37384911 ZCCHC7 Phased Variants 468 chr9  37407369 37407588 GRHPR Phased Variants 469 chr9  78686579 78686854 PCSK5 Genotyping 470 chr9  139390582 139390950 NOTCH1 Genotyping 471 chr9  139390952 139391172 NOTCH1 Genotyping 472 chr9  139402662 139402868 NOTCH1 Genotyping 473 chr10 5755066 5755273 FAM208B Phased Variants 474 chr10 89500957 89501139 PAPSS2 Genotyping 475 chr10 89603602 89604077 KLLN Genotyping 476 chr10 89624272 89624350 PTEN Genotyping 477 chr10 89653752 89653825 PTEN Genotyping 478 chr10 89653832 89653909 PTEN Genotyping 479 chr10 89685272 89685379 PTEN Genotyping 480 chr10 89690752 89690894 PTEN Genotyping 481 chr10 89692737 89692810 PTEN Genotyping 482 chr10 89692877 89692951 PTEN Genotyping 483 chr10 89692972 89693037 MEN Genotyping 484 chr10 89711837 89711966 PTEN Genotyping 485 chr10 89711982 89712058 PTEN Genotyping 486 chr10 89717577 89717714 PTEN Genotyping 487 chr10 89717742 89717811 PTEN Genotyping 488 chr10 89720637 89720904 PTEN Genotyping 489 chr10 90074239 90074419 RNLS Genotyping 490 chr10 90537736 90538027 LIPN Genotyping 491 chr10 90579966 90580319 LIPM Genotyping 492 chr10 90699126 90699647 ACTA2 Genotyping 493 chr10 90773866 90774076 FAS Genotyping 494 chr10 91092211 91092423 IFIT3 Genotyping 495 chr10 91358986 91359298 PANK1 Genotyping 496 chr10 131640289 131640505 EBF3 Genotyping 497 chr11 58978692 58978791 MPEG1 Genotyping 498 chr11 58978927 58979095 MPEG1 Genotyping 499 chr11 58979112 58979365 MPEG1 Genotyping 500 chr11 65190342 65190557 FRMD8 Phased Variants 501 chr11 65266552 65266924 SCYL1 Phased Variants 502 chr11 65267397 65267603 SCYL1 Phased Variants 503 chr11 65623422 65623506 CFL1 Genotyping 504 chr11 69346691 69346940 CCND1 Genotyping 505 chr11 102188381 102188945 BIRC3 Phased Variants 506 chr11 111234536 111235068 POU2AF1 Genotyping 507 chr11 111249311 111249530 POU2AF1 Phased Variants 508 chr11 111613196 111613432 PPP2R1B Genotyping 509 chr11 111781036 111781641 CRYAB Genotyping 510 chr11 111904096 111904291 DLAT Genotyping 511 chr11 112405016 112405330 AP002884.2 Genotyping 512 chr11 112405341 112405621 AP002884.2 Genotyping 513 chr11 117101043 117101217 PCSK7 Genotyping 514 chr11 117712683 117712997 FXYD6 Genotyping 515 chr11 118754793 118755011 CXCR5 Phased Variants 516 chr11 118764838 118765408 CXCR5 Genotyping 517 chr11 118967323 118968029 DPAGT1 Genotyping 518 chr11 120127163 120127588 POU2F3 Genotyping 519 chr11 120189028 120189629 POU2F3 Genotyping 520 chr11 125472640 125472915 STT3A Genotyping 521 chr11 128391383 128391629 ETS1 Phased Variants 522 chr11 128391648 128392132 ETS1 Phased Variants 523 chr11 129739778 129740102 NFRKB Genotyping 524 chr11 131747549 131748030 NTM Genotyping 525 chr11 134027789 134027980 NCAPD3 Genotyping 526 chr11 134118684 134118873 THYN1 Genotyping 527 chr11 134129469 134130211 ACAD8 Genotyping 528 chr11 134130464 134131097 ACAD8 Genotyping 529 chr11 134133389 134133972 ACAD8 Genotyping 530 chr12 6439713 6439920 TNFRSF1A Genotyping 531 chr12 15813487 15813687 EPS8 Genotyping 532 chr12 18534682 18534856 PIK3C2G Genotyping 533 chr12 18544037 18544241 PIK3C2G Genotyping 534 chr12 18573807 18574017 PIK3C2G Genotyping 535 chr12 18699197 18699459 PIK3C2G Genotyping 536 chr12 18747397 18747562 PIK3C2G Genotyping 537 chr12 18800762 18801046 PIK3C2G Genotyping 538 chr12 18891267 18891560 CAPZA3 Genotyping 539 chr12 25205888 25206105 LRMP Phased Variants 540 chr12 25206398 25206616 LRMP Phased Variants 541 chr12 25206748 25206877 LRMP Phased Variants 542 chr12 25207088 25207474 LRMP Phased Variants 543 chr12 25398218 25398299 KRAS Genotyping 544 chr12 48190731 48190983 HDAC7 Genotyping 545 chr12 49415991 49416144 KMT2D Genotyping 546 chr12 49418306 49418550 KMT2D Genotyping 547 chr12 49420531 49420750 KMT2D Genotyping 548 chr12 49426451 49426592 KMT2D Genotyping 549 chr12 49427886 49428116 KMT2D Genotyping 550 chr12 49433331 49433507 KMT2D Genotyping 551 chr12 49437926 49438391 KMT2D Genotyping 552 chr12 49444391 49444595 KMT2D Genotyping 553 chr12 49447196 49447491 KMT2D Genotyping 554 chr12 57496552 57496735 STAT6 Genotyping 555 chr12 57498222 57498396 STAT6 Genotyping 556 chr12 57498912 57499150 STAT6 Genotyping 557 chr12 86198698 86199622 RASSF9 Genotyping 558 chr12 92537875 92538647 BTC1 Phased Variants 559 chr12 92538790 92539374 BTG1 Phased Variants 560 chr12 113495364 113496458 DTX1 Phased Variants 561 chr12 113496509 113496679 DTX1 Phased Variants 562 chr12 113496694 113496945 DTX1 Phased Variants 563 chr12 113497059 113497278 DTX1 Phased Variants 564 chr12 113515199 113515658 DTX1 Genotyping 565 chr12 113515664 113515934 DTX1 Genotyping 566 chr12 113530924 113531055 DTX1 Genotyping 567 chr12 113531319 113531531 DTX1 Genotyping 568 chr12 113531799 113531930 DTX1 Genotyping 569 chr12 113532569 113532781 DTX1 Genotyping 570 chr12 113532809 113533032 DTX1 Genotyping 571 chr12 113533099 113533237 DTX1 Genotyping 572 chr12 113534494 113534778 DTX1 Genotyping 573 chr12 122458781 122459524 BCL7A Phased Variants 574 chr12 122460811 122461193 BCL7A Phased Variants 575 chr12 122461316 122461882 BCL7A Phased Variants 576 chr12 122462001 122462210 BCL7A Phased Variants 577 chr12 122462716 122462935 BCL7A Phased Variants 578 chr12 122463031 122463137 BCL7A Phased Variants 579 chr13 32907206 32907376 BRCA2 Genotyping 580 chr13 32912226 32912828 BRCA2 Genotyping 581 chr13 41133662 41133842 FOXO1 Genotyping 582 chr13 41133922 41135026 FOXO1 Genotyping 583 chr13 41239682 41239755 FOXO1 Genotyping 584 chr13 41239827 41240356 FOXO1 Genotyping 585 chr13 41240362 41240788 FOXO1 Genotyping 586 chr13 46959165 46959379 KIAA0226L Phased Variants 587 chr13 46961680 46962067 KIAA0226L Phased Variants 588 chr13 51915233 51915552 SERPINE3 Genotyping 589 chr13 58207131 58209129 PCDH17 Genotyping 590 chr13 84453542 84455255 SLITRK1 Genotyping 591 chr13 113516229 113516436 ATP11A Phased Variants 592 chr14 23344697 23345206 LRP10 Genotyping 593 chr14 32615405 32615617 ARHGAP5 Genotyping 594 chr14 35873671 35873838 NFKBIA Genotyping 595 chr14 64330252 64330462 SYNE2 Phased Variants 596 chr14 69258238 69259642 ZFP36L1 Phased Variants 597 chr14 84420586 84420796 FLRT2 Phased Variants 598 chr14 96179592 96180295 TCL1A Phased Variants 599 chr14 106048955 106049032 IGHA2 Phased Variants 600 chr14 106054695 106055541 IGHA2 Genotyping 601 chr14 106055740 106055827 IGHA2 Genotyping 602 chr14 106055910 106055995 IGHA2 Genotyping 603 chr14 106056035 106056121 IGHA2 Genotyping 604 chr14 106068705 106068911 IGHE Phased Variants 605 chr14 106069045 106069384 IGHE Phased Variants 606 chr14 106071060 106071135 IGHE Phased Variants 607 chr14 106071190 106071271 IGHE Phased Variants 608 chr14 106092380 106092608 IGHG4 Genotyping 609 chr14 106092670 106093406 IGHG4 Genotyping 610 chr14 106093435 106093575 IGHG4 Genotyping 611 chr14 106093610 106094215 IGHG4 Genotyping 612 chr14 106094235 106094479 IGHG4 Genotyping 613 chr14 106094580 106094654 IGHG4 Genotyping 614 chr14 106094675 106094915 IGHG4 Genotyping 615 chr14 106095335 106095417 IGHG4 Phased Variants 616 chr14 106095480 106095560 IGHG4 Phased Variants 617 chr14 106110675 106110814 IGHG2 Phased Variants 618 chr14 106110830 106110904 IGHG2 Phased Variants 619 chr14 106110950 106111025 IGHG2 Phased Variants 620 chr14 106111100 106111311 IGHG2 Genotyping 621 chr14 106111390 106112121 IGHG2 Genotyping 622 chr14 106112160 106112302 IGHG2 Genotyping 623 chr14 106112335 106113010 IGHG2 Phased Variants 624 chr14 106113020 106113438 IGHG2 Phased Variants 625 chr14 106113450 106113625 IGHG2 Phased Variants 626 chr14 106113695 106113901 IGHG2 Phased Variants 627 chr14 106113905 106113984 IGHG2 Phased Variants 628 chr14 106114175 106114414 IGHG2 Phased Variants 629 chr14 106174970 106175819 IGHA1 Genotyping 630 chr14 106175820 106176042 IGHA1 Genotyping 631 chr14 106176070 106176217 IGHA1 Genotyping 632 chr14 106176235 106176320 IGHA1 Genotyping 633 chr14 106176375 106176932 IGHA1 Phased Variants 634 chr14 106176985 106177069 IGHA1 Phased Variants 635 chr14 106177425 106177536 IGHA1 Genotyping 636 chr14 106211960 106212864 IGHG1 Phased Variants 637 chr14 106212870 106212948 IGHG1 Phased Variants 638 chr14 106212980 106213124 IGHG1 Phased Variants 639 chr14 106213125 106213200 IGHG1 Phased Variants 640 chr14 106213210 106213525 IGHG1 Phased Variants 641 chr14 106213660 106214042 IGHG1 Phased Variants 642 chr14 106239250 106239357 IGHG3 Phased Variants 643 chr14 106239455 106239900 IGHG3 Phased Variants 644 chr14 106239990 106240155 IGHG3 Phased Variants 645 chr14 106240170 106240815 IGHG3 Phased Variants 646 chr14 106240820 106240892 IGHG3 Phased Variants 647 chr14 106240915 106241118 IGHG3 Phased Variants 648 chr14 106241200 106241278 IGHG3 Phased Variants 649 chr14 106241345 106241627 IGHG3 Phased Variants 650 chr14 106241630 106241705 IGHG3 Genotyping 651 chr14 106241710 106241975 IGHG3 Genotyping 652 chr14 106318100 106318327 IGHM Phased Variants 653 chr14 106322055 106322271 IGHM Phased Variants 654 chr14 106322905 106323129 IGHM Phased Variants 655 chr14 106323470 106323656 IGHM Phased Variants 656 chr14 106323805 106323896 IGHM Phased Variants 657 chr14 106324010 106324087 IGHM Phased Variants 658 chr14 106324155 106324245 IGHM Phased Variants 659 chr14 106324290 106324369 IGHM Phased Variants 660 chr14 106324490 106324577 IGHM Phased Variants 661 chr14 106324750 106325340 IGHM Phased Variants 662 chr14 106325360 106325513 IGHM Phased Variants 663 chr14 106325515 106325791 IGHM Phased Variants 664 chr14 106325820 106326095 IGHJ6 Phased Variants 665 chr14 106326245 106326338 IGHJ6 Phased Variants 666 chr14 106326450 106331808 IGHD7-27 Phased Variants 667 chr14 106357890 106357967 IGHD6-19 Phased Variants 668 chr14 106380360 106380541 IGHD3-3 Phased Variants 669 chr14 106380550 106380901 IGHD3-3 Phased Variants 670 chr14 106380910 106381109 IGHD3-3 Phased Variants 671 chr14 106381275 106381351 IGHD3-3 Phased Variants 672 chr14 106381485 106381633 IGHD2-2 Phased Variants 673 chr14 106381655 106381724 IGHD2-2 Phased Variants 674 chr14 106381890 106381968 IGHD2-2 Phased Variants 675 chr14 106381990 106382161 IGHD2-2 Phased Variants 676 chr14 106382325 106382403 IGHD2-2 Phased Variants 677 chr14 106382905 106383014 IGHD2-2 Phased Variants 678 chr14 106383030 106383140 IGHD2-2 Phased Variants 679 chr14 106383980 106384142 IGHD1-1 Phased Variants 680 chr14 106384630 106384702 IGHD1-1 Phased Variants 681 chr14 106384720 106384798 IGHD1-1 Phased Variants 682 chr14 106384825 106384957 IGHD1-1 Phased Variants 683 chr14 106405615 106405963 IGHV6-1 Genotyping 684 chr14 106452660 106452748 IGHV1-2 Genotyping 685 chr14 106452755 106452907 IGHV1-2 Genotyping 686 chr14 106452940 106453023 IGHV1-2 Genotyping 687 chr14 106471395 106471476 IGHV1-3 Genotyping 688 chr14 106471510 106471609 IGHV1-3 Genotyping 689 chr14 106494090 106494168 IGHV2-5 Phased Variants 690 chr14 106494210 106494365 IGHV2-5 Phased Variants 691 chr14 106494445 106494553 IGHV2-5 Phased Variants 692 chr14 106494565 106494640 IGHV2-5 Phased Variants 693 chr14 106494650 106494806 IGHV2-5 Phased Variants 694 chr14 106518495 106518570 IGHV3-7 Phased Variants 695 chr14 106518855 106518962 IGHV3-7 Phased Variants 696 chr14 106518970 106519111 IGHV3-7 Phased Variants 697 chr14 106539175 106539315 IGHV1-8 Genotyping 698 chr14 106552365 106552502 IGHV3-9 Genotyping 699 chr14 106573315 106573414 IGHV3-11 Genotyping 700 chr14 106573445 106573524 IGHV3-11 Genotyping 701 chr14 106573540 106573645 IGHV3-11 Phased Variants 702 chr14 106573685 106574021 IGHV3-11 Phased Variants 703 chr14 106586200 106586343 IGHV3-13 Genotyping 704 chr14 106610380 106610479 IGHV3-15 Genotyping 705 chr14 106610480 106610557 IGHV3-15 Genotyping 706 chr14 106610690 106610765 IGHV3-15 Phased Variants 707 chr14 106621885 106622026 IGHV3-16 Genotyping 708 chr14 106622035 106622108 IGHV3-16 Genotyping 709 chr14 106641655 106641789 IGHV1-18 Genotyping 710 chr14 106642110 106642265 IGHV1-18 Phased Variants 711 chr14 106667545 106667628 IGHV3-20 Genotyping 712 chr14 106667675 106667750 IGHV3-20 Genotyping 713 chr14 106667805 106667882 IGHV3-20 Genotyping 714 chr14 106691755 106691904 IGHV3-21 Genotyping 715 chr14 106725295 106725442 IGHV3-23 Phased Variants 716 chr14 106725550 106725663 IGHV3-23 Phased Variants 717 chr14 106725780 106725952 IGHV3-23 Phased Variants 718 chr14 106725995 106726188 IGHV3-23 Phased Variants 719 chr14 106732970 106733077 IGHV1-24 Phased Variants 720 chr14 106733185 106733270 IGHV1-24 Phased Variants 721 chr14 106733275 106733487 IGHV1-24 Phased Variants 722 chr14 106757725 106757888 IGHV2-26 Genotyping 723 chr14 106758470 106758653 IGHV2-26 Phased Variants 724 chr14 106780610 106780752 IGHV4-28 Genotyping 725 chr14 106791090 106791169 IGHV3-30 Phased Variants 726 chr14 106805290 106805428 IGHV4-31 Genotyping 727 chr14 106805945 106806076 IGHV4-31 Phased Variants 728 chr14 106806120 106806219 IGHV4-31 Phased Variants 729 chr14 106815805 106815910 IGHV3-33 Phased Variants 730 chr14 106829685 106829757 IGHV4-34 Phased Variants 731 chr14 106829765 106829986 IGHV4-34 Phased Variants 732 chr14 106830125 106830196 IGHV4-34 Phased Variants 733 chr14 106830240 106830312 IGHV4-34 Phased Variants 734 chr14 106830315 106830884 IGHV4-34 Phased Variants 735 chr14 106831185 106831594 IGHV4-34 Phased Variants 736 chr14 106845300 106845540 IGHV3-35 Genotyping 737 chr14 106846385 106846557 IGHV3-35 Phased Variants 738 chr14 106866380 106866461 IGHV3-38 Genotyping 739 chr14 106866475 106866638 IGHV3-38 Genotyping 740 chr14 106877715 106877858 IGHV4-39 Phased Variants 741 chr14 106877930 106878498 IGHV4-39 Phased Variants 742 chr14 106878540 106878612 IGHV4-39 Phased Variants 743 chr14 106878680 106878759 IGHV4-39 Phased Variants 744 chr14 106926180 106926405 IGHV3-43 Genotyping 745 chr14 106962965 106963167 IGHV1-45 Genotyping 746 chr14 106963170 106963280 IGHV1-45 Genotyping 747 chr14 106967130 106967209 IGHV1-46 Genotyping 748 chr14 106967315 106967397 IGHV1-46 Genotyping 749 chr14 106994300 106994376 IGHV3-48 Phased Variants 750 chr14 106994430 106994534 IGHV3-48 Phased Variants 751 chr14 106994545 106994618 IGHV3-48 Phased Variants 752 chr14 106994660 106994745 IGHV3-48 Phased Variants 753 chr14 106994760 106994904 IGHV3-48 Phased Variants 754 chr14 107013035 107013204 IGHV3-49 Genotyping 755 chr14 107034665 107034845 IGHV5-51 Genotyping 756 chr14 107034955 107035097 IGHV5-51 Genotyping 757 chr14 107078455 107078631 IGHV1-58 Genotyping 758 chr14 107083565 107083726 IGHV4-59 Phased Variants 759 chr14 107083790 107083923 IGHV4-59 Phased Variants 760 chr14 107113405 107113560 IGHV3-64 Phased Variants 761 chr14 107113820 107113922 IGHV3-64 Phased Variants 762 chr14 107114095 107114238 IGHV3-64 Phased Variants 763 chr14 107136755 107136899 IGHV3-66 Phased Variants 764 chr14 107169645 107169841 IGHV1-69 Phased Variants 765 chr14 107169970 107170195 IGHV1-69 Phased Variants 766 chr14 107170220 107170472 IGHV1-69 Phased Variants 767 chr14 107170475 107170563 IGHV1-69 Phased Variants 768 chr14 107170660 107170871 IGHV1-69 Phased Variants 769 chr14 107178305 107178377 IGHV2-70 Phased Variants 770 chr14 107178415 107178869 IGHV2-70 Phased Variants 771 chr14 107178880 107179116 IGHV2-70 Phased Variants 772 chr14 107179130 107179339 IGHV2-70 Phased Variants 773 chr14 107179360 107180001 IGHV2-70 Phased Variants 774 chr14 107199020 107199094 IGHV3-72 Genotyping 775 chr14 107199095 107199173 IGHV3-72 Genotyping 776 chr14 107210955 107211159 IGHV3-73 Genotyping 777 chr14 107218755 107218891 IGHV3-74 Genotyping 778 chr14 107258910 107259078 IGHV7-81 Phased Variants 779 chr14 107259100 107259206 IGHV7-81 Phased Variants 780 chr14 107259235 107259444 IGHV7-81 Phased Variants 781 chr14 107259555 107259635 IGHV7-81 Phased Variants 782 chr14 107282770 107282884 IGHV7-81 Genotyping 783 chr14 107282945 107283018 IGHV7-81 Genotyping 784 chr15 45003678 45003861 B2M Genotyping 785 chr15 45007718 45007927 B2M Genotyping 786 chr15 45008463 45008603 B2M Genotyping 787 chr15 66727354 66727536 MAP2K1 Genotyping 788 chr15 66729014 66729123 MAP2K1 Genotyping 789 chr15 66729139 66729292 MAP2K1 Genotyping 790 chr15 86312062 86312565 KLHL25 Genotyping 791 chr16 2812096 2812786 SRRM2 Genotyping 792 chr16 3779106 3779320 CREBBP Genotyping 793 chr16 3781171 3781464 CREBBP Genotyping 794 chr16 3781756 3781972 CREBBP Genotyping 795 chr16 3786011 3786223 CREBBP Genotyping 796 chr16 3786591 3786885 CREBBP Genotyping 797 chr16 3788511 3788716 CREBBP Genotyping 798 chr16 3789521 3789770 CREBBP Genotyping 799 chr16 3790376 3790580 CREBBP Genotyping 800 chr16 3794846 3794994 CREBBP Genotyping 801 chr16 3808801 3809009 CREBBP Genotyping 802 chr16 3817706 3817915 CREBBP Genotyping 803 chr16 3823711 3823942 CREBBP Genotyping 804 chr16 3824536 3824719 CREBBP Genotyping 805 chr16 3832716 3832942 CREBBP Genotyping 806 chr16 3900236 3900462 CREBBP Genotyping 807 chr16 3900561 3900914 CREBBP Genotyping 808 chr16 10971440 10973882 CIITA Phased Variants 809 chr16 10973885 10974203 CIITA Phased Variants 810 chr16 11348520 11349249 SOCS1 Phased Variants 811 chr16 30093722 30093935 PPP4C Genotyping 812 chr16 33523607 33523675 IGHV3OR16-12 Phased Variants 813 chr16 81946175 81946356 PLCG2 Genotxping 814 chr16 81953055 81953307 PLCG2 Genotyping 815 chr16 81962120 81962263 PLCG2 Genotyping 816 chr16 85933003 85933569 IRF8 Phased Variants 817 chr16 85936563 85936836 IRF8 Genotyping 818 chr16 85942563 85942821 IRF8 Genotyping 819 chr16 85945108 85945330 IRF8 Genotyping 820 chr16 85946708 85946887 IRF8 Genotyping 821 chr16 85948018 85948170 IRF8 Genotyping 822 chr16 85951993 85952448 IRF8 Genotyping 823 chr16 85953683 85953837 IRF8 Genotyping 824 chr16 85954723 85954937 IRF8 Genotypirig 825 chr17 5366796 5367031 DHX33 Genotyping 826 chr17 7576949 7577197 TP53 Genotyping 827 chr17 7577444 7577683 TP53 Genotyping 828 chr17 7578129 7578336 TP53 Genotyping 829 chr17 7578344 7578591 TP53 Genotyping 830 chr17 7579259 7579428 TP53 Genotyping 831 chr17 18001529 18001704 DRG2 Genotyping 832 chr17 18022119 18022791 MYO15A Genotypirig 833 chr17 40467709 40467857 STAT3 Genotyping 834 chr17 40469104 40469321 STAT3 Genotyping 835 chr17 40474309 40474530 STAT3 Genotyping 836 chr17 40474974 40475190 STAT3 Genotyping 837 chr17 40475254 40475394 STAT3 Genotyping 838 chr17 40478074 40478252 STAT3 Genotyping 839 chr17 40485844 40486132 STAT3 Genotyping 840 chr17 40489754 40489903 STAT3 Genotypirig 841 chr17 40491284 40491489 STAT3 Genotyping 842 chr17 41847058 41847241 DUSP3 Genotyping 843 chr17 51900441 51900897 KIF2B Genotyping 844 chr17 56408574 56408755 BZRAP1 Phased Variants 845 chr17 56408884 56409615 BZRAP1 Phased Variants 846 chr17 62006520 62006919 CD79B Genotyping 847 chr17 62007105 62007279 CD79B Genotyping 848 chr17 62007410 62007761 CD79B Genotypirig 849 chr17 62008645 62008786 CD79B Genotyping 850 chr17 62009505 62009659 CD79B Genotyping 851 chr17 63010240 63010308 GNA13 Phased Variants 852 chr17 63010315 63010973 GNA13 Phased Variants 853 chr17 63014313 63014461 GNA13 Genotyping 854 chr17 63049573 63049774 GNA13 Genotyping 855 chr17 63052443 63052678 GNA13 Genotyping 856 chr17 75447868 75448421 9Sep Phased Variants 857 chr17 78343503 78343715 RNF213 Genotyping 858 chr17 79478953 79479026 ACTG1 Genotyping 859 chr18 1477565 1477666 ADCYAP1 Phased Variants 860 chr18 6947104 6947347 LAMA1 Genotyping 861 chr18 6980464 6980680 LAMA1 Genotyping 862 chr18 13825915 13826461 MC5R Genotyping 863 chr18 30349775 30350300 AC012123.1 Phased Variants 864 chr18 48231684 48232112 MAPK4 Genotyping 865 chr18 48327694 48327901 MRO Genotyping 866 chr18 48512954 48513347 ELAC1 Genotyping 867 chr18 48591759 48592011 SMAD4 Genotyping 868 chr18 48593364 48593571 SMAD4 Genotyping 869 chr18 48604604 48604852 SMAD4 Genotyping 870 chr18 48703169 48703965 MEX3C Genotyping 871 chr18 53804515 53804796 TXNL1 Genotyping 872 chr18 55274405 55274580 NARS Genotyping 873 chr18 55319680 55319999 ATP8B1 Genotyping 874 chr18 55329690 55379857 ATP8B1 Genotyping 875 chr18 55359005 55359259 ATP8B1 Genotyping 876 chr18 56054915 56055594 NEDD4L Genotyping 877 chr18 56063365 56063826 NEDD4L Genotyping 878 chr18 60763829 60764032 BCL2 Genotyping 879 chr18 60764299 60764540 BCL2 Genotyping 880 chr18 60774414 60774660 BCL2 Genotyping 881 chr18 60793369 60793654 BCL2 Genotyping 882 chr18 60795829 60796006 BCL2 Genotyping 883 chr18 60806264 60806836 BCL2 Phased Variants 884 chr18 60983784 60983991 BCL2 Phased Variants 885 chr18 60984454 60986731 BCL2 Phased Variants 886 chr18 60986844 60987047 BCL2 Phased Variants 887 chr18 60987964 60988511 BCL2 Phased Variants 888 chr18 64172116 64172531 CDH19 Genotyping 889 chr18 64176241 64176518 CDH19 Genotyping 890 chr18 64239166 64239357 CDH19 Genotyping 891 chr18 65179856 65181824 DSEL Genotyping 892 chr18 73944893 73945380 ZNF516 Genotyping 893 chr18 75683734 75684502 GALR1 Genotyping 894 chr18 77092820 77093034 ATP9B Genotyping 895 chr18 77170715 77171032 NFATC1 Genotyping 896 chr18 77208755 77208996 NFATC1 Genotyping 897 chr18 77227415 77227661 NFATC1 Genotyping 898 chr18 77288040 77288611 NFATC1 Genotyping 899 chr18 77794425 77795130 RBFA Genotyping 900 chr19 1376440 1376662 MUM1 Genotyping 901 chr19 6586161 6586445 CD70 Genotyping 902 chr19 6590026 6590238 CD70 Genotyping 903 chr19 6590786 6591079 CD70 Genotyping 904 chr19 8028408 8028583 ELAVL1 Genotyping 905 chr19 10334563 10335187 S1PR2 Genotyping 906 chr19 10335308 10335585 S1PR2 Genotyping 907 chr19 10340823 10341376 S1PR2 Phased Variants 908 chr19 10341833 10341984 S1PR2 Genotyping 909 chr19 12902574 12902861 JUNB Genotyping 910 chr19 19256469 19256851 MEF2B Genotyping 911 chr19 19257044 19257222 MEF2B Genotyping 912 chr19 19257339 19257480 MEF2B Genotyping 913 chr19 19257489 19257741 MEF2B Genotyping 914 chr19 19257824 19258036 MEF2B Genotyping 915 chr19 19258484 19258662 MEF2B Genotyping 916 chr19 19259984 19260176 MEF2B Genotyping 917 chr19 19261414 19261588 MEF2B Genotyping 918 chr19 19293309 19293478 MEF2BNB Genotyping 919 chr19 42599890 42600121 POU2F2 Genotyping 920 chr19 51525626 51525937 KLK11 Genotyping 921 chr19 51559441 51560040 KLK13 Genotyping 922 chr19 51561771 51561943 KLK13 Genotyping 923 chr19 52381611 52381786 ZNF577 Genotyping 924 chr19 52403336 52403586 ZNF649 Genotyping 925 chr19 52961146 52961224 ZNF534 Genotyping 926 chr19 52961226 52961578 ZNF534 Genotyping 927 chr19 53598586 53599055 ZNF160 Genotyping 928 chr20 23028372 23028858 THBD Genotyping 929 chr20 25003526 25003774 ACSS1 Genotyping 930 chr20 46131072 46131213 NCOA3 Phased Variants 931 chr20 46131217 46131287 NCOA3 Phased Variants 932 chr21 18981233 18981504 BTG3 Genotyping 933 chr21 28213258 28213536 ADAMTS1 Genotyping 934 chr21 28216763 28217005 ADAMTS1 Genotyping 935 chr22 22380472 22381038 IGLV4-69 Phased Variants 936 chr22 22385622 22385767 IGLV4-69 Genotyping 937 chr22 22385777 22385898 IGLV4-69 Genotyping 938 chr22 22453287 22453502 IGLV8-61 Genotyping 939 chr22 22453527 22453608 IGLV8-61 Genotyping 940 chr22 22516707 22516785 IGLV4-60 Phased Variants 941 chr22 22516827 22517113 IGLV4-60 Phased Variants 942 chr22 22550337 22550812 IGLV6-57 Genotyping 943 chr22 22556227 22556630 IGLV11-55 Genotyping 944 chr22 22569332 22569655 IGLV10-54 Genotyping 945 chr22 22673242 22673607 IGLV5-52 Genotyping 946 chr22 22677077 22677216 IGLV1-51 Phased Variants 947 chr22 22677227 22677337 IGLV1-51 Genotyping 948 chr22 22681927 22682007 IGLV1-50 Genotyping 949 chr22 22682097 22682213 IGLV1-50 Genotyping 950 chr22 22697727 22698123 IGLV9-49 Genotyping 951 chr22 22707427 22707509 IGLV5-48 Genotyping 952 chr22 22707517 22707658 IGLV5-48 Phased Variants 953 chr22 22707742 22707823 IGLV5-48 Genotyping 954 chr22 22712077 22712496 IGLV1-47 Phased Variants 955 chr22 22712512 22712625 IGLV1-47 Genotyping 956 chr22 22723897 22724189 IGLV7-46 Phased Variants 957 chr22 22724207 22724494 IGLV7-46 Phased Variants 958 chr22 22730452 22730552 IGLV5-45 Phased Variants 959 chr22 22730607 22730756 IGLV5-45 Phased Variants 960 chr22 22730887 22730955 IGLV5-45 Phased Variants 961 chr22 22735417 22735604 IGLV1-44 Phased Variants 962 chr22 22735792 22735878 IGLV1-44 Phased Variants 963 chr22 22749602 22749701 IGLV7-43 Phased Variants 964 chr22 22749732 22749853 IGLV7-43 Phased Variants 965 chr22 22749857 22749939 IGLV7-43 Phased Variants 966 chr22 22749942 22750074 IGLV7-43 Phased Variants 967 chr22 22750092 22750342 IGLV7-43 Phased Variants 968 chr22 22758647 22759294 IGLV1-40 Phased Variants 969 chr22 22759297 22759377 IGLV1-40 Phased Variants 970 chr22 22764167 22764309 IGLV1-40 Phased Variants 971 chr22 22764367 22764450 IGLV1-40 Phased Variants 972 chr22 22764552 22764634 IGLV1-40 Phased Variants 973 chr22 22782037 22782325 IGLV5-37 Genotyping 974 chr22 22786477 22786702 IGLV1-36 Genotyping 975 chr22 22786727 22786842 IGLV1-36 Genotyping 976 chr22 22930852 22931173 IGLV2-33 Genotyping 977 chr22 22937192 22937341 IGLV3-32 Genotyping 978 chr22 22937347 22937548 IGLV3-32 Genotyping 979 chr22 23010977 23011143 IGLV3-27 Genotyping 980 chr22 23011172 23011316 IGLV3-27 Genotyping 981 chr22 23029497 23029581 IGLV3-25 Genotyping 982 chr22 23029622 23029778 IGLV3-25 Genotyping 983 chr22 23040452 23040527 IGLV3-23 Phased Variants 984 chr22 23040592 23040811 IGLV2-23 Phased Variants 985 chr22 23040852 23041365 IGLV2-23 Phased Variants 986 chr22 23047067 23047329 IGLV3-22 Genotyping 987 chr22 23055367 23055445 IGLV3-21 Genotyping 988 chr22 23055497 23055577 IGLV3-21 Phased Variants 989 chr22 23055727 23055857 IGLV3-21 Phased Variants 990 chr22 23063307 23063661 IGLV3-19 Genotyping 991 chr22 23077337 23077435 IGLV2-18 Genotyping 992 chr22 23077537 23077615 IGLV2-18 Genotyping 993 chr22 23090122 23090205 IGLV3-16 Genotyping 994 chr22 23090287 23090372 IGLV3-16 Genotyping 995 chr22 23101392 23101473 IGLV2-14 Phased Variants 996 chr22 23101532 23101605 IGLV2-14 Phased Variants 997 chr22 23101652 23101735 IGLV2-14 Genotyping 998 chr22 23114792 23114874 IGLV3-12 Genotyping 999 chr22 23114947 23115052 IGLV3-12 Genotyping 1000 chr22 23135152 23135230 IGLV2-11 Genotyping 1001 chr22 23135247 23135399 IGLV2-11 Genotyping 1002 chr22 23135437 23135521 IGLV2-11 Genotyping 1003 chr22 23154347 23154477 IGLV3-10 Phased Variants 1004 chr22 23154597 23154815 IGLV3-10 Phased Variants 1005 chr22 23161917 23162052 IGLV3-9 Genotyping 1006 chr22 23162072 23162290 IGLV3-9 Genotyping 1007 chr22 23165422 23165496 IGLV2-8 Phased Variants 1008 chr22 23165542 23165680 IGLV2-8 Phased Variants 1009 chr22 23165727 23165811 IGLV2-8 Phased Variants 1010 chr22 23192412 23192818 IGLV4-3 Phased Variants 1011 chr22 23197917 23198053 IGLV4-3 Phased Variants 1012 chr22 23198067 23198475 IGLV4-3 Phased Variants 1013 chr22 23198587 23198732 IGLV4-3 Phased Variants 1014 chr22 23198797 23198869 IGLV4-3 Phased Variants 1015 chr22 23199022 23199127 IGLV4-3 Phased Variants 1016 chr22 21199182 23199261 IGLV4-3 Phased Variants 1017 chr22 23199277 23199671 IGLV4-3 Phased Variants 1018 chr22 23213857 23214141 IGLV4-3 Genotyping 1019 chr22 23214167 23214249 IGLV4-3 Genotyping 1020 chr22 23222927 23223065 IGLV3-1 Phased Variants 1021 chr22 23223077 23223319 IGLV3-1 Phased Variants 1022 chr22 23223327 23224010 IGLV3-1 Phased Variants 1023 chr22 23227062 23227279 IGLL5 Phased Variants 1024 chr22 23227567 23227896 IGLL5 Phased Variants 1025 chr22 23227897 23228624 IGLL5 Phased Variants 1026 chr22 23229332 23229550 IGLL5 Phased Variants 1027 chr22 23229567 23229739 IGLL5 Phased Variants 1028 chr22 23230012 23231063 IGLL5 Phased Variants 1029 chr22 23231072 23231764 IGLL5 Phased Variants 1030 chr22 23231927 23232005 IGLL5 Phased Variants 1031 chr22 23232062 23232346 IGLL5 Phased Variants 1032 chr22 23232362 23232465 IGLL5 Phased Variants 1033 chr22 23232517 23232737 IGLL5 Phased Variants 1034 chr22 23234612 23235837 IGLJ1 Phased Variants 1035 chr22 23235847 23236276 IGLJ1 Phased Variants 1036 chr22 23236277 23236378 IGLJ1 Phased Variants 1037 chr22 23236387 23236526 IGLJ1 Phased Variants 1038 chr22 33236557 23236851 IGLJ1 Phased Variants 1039 chr22 23236877 23237366 IGLC1 Phased Variants 1040 chr22 23241762 23241835 IGLJ2 Genotyping 1041 chr22 23242602 23242981 IGLC2 Phased Variants 1042 chr22 23244157 23244373 IGLC2 Phased Variants 1043 chr22 23247137 23247209 IGLJ3 Genotyping 1044 chr22 23247257 23247444 IGLJ3 Phased Variants 1045 chr22 23247467 23247630 IGLJ3 Phased Variants 1046 chr22 23248182 23248404 IGLC3 Phased Variants 1047 chr22 23252687 23252824 IGLJ4 Genotyping 1048 chr22 23256362 23256504 IGLJ5 Genotyping 1049 chr22 23260267 23260399 IGLJ6 Genotyping 1050 chr22 23263507 23263653 IGLJ7 Genotyping 1051 chr22 23263872 23264263 IGLJ7 Phased Variants 1052 chr22 23278157 23278381 IGLC7 Phased Variants 1053 chr22 23282767 23282839 IGLC7 Phased Variants 1054 chr22 33282842 23282956 IGLC7 Phased Variants 1055 chr22 23523567 23524204 BCR Genotyping 1056 chr22 23524212 23524419 BCR Genotyping 1057 chr22 23610547 23610791 BCR Genotyping 1058 chr22 29191136 29191455 XBP1 Genotyping 1059 chr22 29191461 29191746 XBP1 Genotyping 1060 chr22 29192006 29192215 XBP1 Genotyping 1061 chr22 29193041 29193205 XBP1 Genotyping 1062 chr22 29196261 29196547 XBP1 Genotyping 1063 chr22 41513340 41513562 EP300 Genotyping 1064 chr22 41525845 41526047 EP300 Genotyping 1065 chr22 41527440 41527664 EP300 Genotyping 1066 chr22 41536110 41536291 EP300 Genotyping 1067 chr22 41545740 41545940 EP300 Genotyping 1068 chr22 41545995 41546223 EP300 Genotyping 1069 chr22 41565485 41565650 EP300 Genotyping 1070 chr22 41566385 41566592 EP300 Genotyping 1071 chr22 41568480 41568693 EP300 Genotyping 1072 chr22 41569600 41569814 EP300 Genotyping 1073 chr22 41572225 41572436 EP300 Genotyping 1074 chr22 41577800 41573027 EP300 Genotyping 1075 chr22 41573300 41573515 EP300 Genotyping 1076 chr22 41574255 41574486 EP300 Genotyping 1077 chr22 41574685 41574904 EP300 Genotyping 1078 chr22 47570209 47570414 TBC1D22A Phased Variants 1079 chrX 1584324 1585521 P2RY8 Genotyping 1080 chrX 1655789 1656029 AKAP17A Genotyping 1081 chrX 12993264 12993539 TMSB4X Phased Variants 1082 chrX 12993544 12994173 TMSB4X Phased Variants 1083 chrX 12994289 12994397 TMSB4X Phased Variants 1084 chrX 12994444 12994514 TMSB4X Phased Variants 1085 chrX 33146106 33146490 DMD Phased Variants 1086 chrX 35820576 35821268 MAGEB16 Genotyping 1087 chrX 70347816 70348034 MED12 Genotyping 1088 chrX 70612661 70612778 TAF1 Genotyping 1089 chrX 73962123 73963110 KIAA2022 Genotyping 1090 chrX 86772953 86773345 KLHL4 Genotyping 1091 chrX 90026453 90026652 PABPC5 Phased Variants 1092 chrX 100610984 100611308 BTK Genotyping 1093 chrX 119509280 119509492 ATP1B4 Genotyping 1094 chrX 141291052 141291326 MAGEC2 Genotyping 1095 chrX 141291357 141291566 MAGEC2 Genotyping 1096 chrX 153997383 153997622 DKC1 Genotyping

Mean Mean Mean Mean Mean Number frac frac frac frac frac of DLBCL GCB ABC PMBCL cHL ranksumP ranksumP ranksumP Chromo- 50 bp with with with with with ABCvs- PMBCLvs- cHLvs- # some Region Start Region End bins Gene PV PV PV PV PV GCB DLBCL DLBCL 1 chr22  23227063  23237340 135  IGLL5 0.184 0.158 0.224 0.242 0.088 0.00000 0.00003 0.00000 2 chr18  60763830  60988465 104  BCL2 0.111 0.165 0.029 0.056 0.004 0.00000 0.00000 0.00000 3 chr14 106239251 106241954 49 IGHG3 0.193 0.155 0.251 0.105 0.032 0.00000 0.00000 0.00000 4 chr14 106092381 106095531 51 IGHG4 0.179 0.155 0.217 0.136 0.056 0.00000 0.00000 0.00000 5 chr6  37138285  37141880 36 PIM1 0.073 0.039 0.124 0.068 0.000 0.00000 0.00251 0.00000 6 chr22  22758648  22764603 22 IGLV1-40 0.064 0.098 0.013 0.102 0.000 0.00000 0.46986 0.00001 7 chr2  89161240  89165610 66 IGKJ1 0.144 0.134 0.160 0.140 0.109 0.00000 0.00006 0.36296 8 chr14 106829686 106831586 30 IGHV4-34 0.077 0.049 0.121 0.100 0.012 0.00000 0.10144 0.01432 9 chr2  89158619  89160190 32 IGKJ5 0.307 0.286 0.339 0.350 0.219 0.00000 0.28398 0.00000 10 chr22  23222928  23223998 22 IGLV3-1 0.266 0.300 0.215 0.429 0.208 0.00000 0.00000 0.22589 11 chr14 106211961 106214011 39 IGHG1 0.229 0.197 0.277 0.131 0.035 0.00000 0.00000 0.00000 12 chr14 106329751 106330201 10 IGHJ5 0.320 0.261 0.410 0.375 0.148 0.00000 0.24822 0.00000 13 chr3 187957433 188471931 54 LPP 0.080 0.102 0.046 0.168 0.062 0.00001 0.00027 0.00345 14 chr2  89160890  89161190  7 IGKJ2 0.151 0.096 0.236 0.116 0.062 0.00001 0.02569 0.00086 15 chr6 134491383 134495968 64 SGK1 0.039 0.053 0.018 0.075 0.001 0.00002 0.58192 0.99403 16 chr6 150954421 150954821  9 PLEKHG1 0.067 0.049 0.094 0.063 0.000 0.00002 0.11666 0.00114 17 chr2  89246682  89247982 18 IGKV1-5 0.031 0.023 0.043 0.097 0.024 0.00003 0.01798 0.00005 18 chr8 128746808 128764273 164  MYC 0.037 0.047 0.021 0.039 0.001 0.00003 0.00000 0.86966 19 chr22  23040453  23041334 17 IGLV2-23 0.051 0.073 0.018 0.088 0.005 0.00003 0.77724 0.04594 20 chr2  89160240  89160540  7 IGKJ4 0.259 0.225 0.311 0.241 0.130 0.00003 0.04157 0.00006 21 chr22  22516708  22517100  8 IGLV4-60 0.084 0.117 0.034 0.078 0.022 0.00003 0.17854 0.01628 22 chr12 122458782 122463132 48 BCL7A 0.091 0.106 0.068 0.173 0.041 0.00005 0.00033 0.01552 23 chr14 107178306 107179990 33 IGHV2-70 0.224 0.242 0.195 0.182 0.115 0.00006 0.00002 0.00004 24 chr2  89160590  89160840  6 IGKJ3 0.185 0.137 0.258 0.135 0.109 0.00006 0.00291 0.00284 25 chr22  22730453  22730938  7 IGLV5-45 0.069 0.108 0.011 0.107 0.019 0.00010 0.70241 0.37522 26 chr22  23248183  23248383  5 IGLC3 0.164 0.236 0.055 0.113 0.035 0.00014 0.00837 0.00072 27 chr2  89127262  89158569 66 IGKC 0.089 0.077 0.107 0.164 0.041 0.00022 0.00008 0.04625 28 chr9  37293170  37384885 18 ZCCHC7 0.055 0.075 0.025 0.069 0.002 0.00023 0.36871 0.42872 29 chr14 106732971 106733441  9 IGHV1-24 0.036 0.060 0.000 0.090 0.000 0.00026 0.33149 0.77291 30 chr2  89184967  89185677 15 IGKV4-1 0.103 0.133 0.057 0.133 0.078 0.00035 0.83189 0.36813 31 chr2  59821915  60773435 12 BCL11A 0.035 0.053 0.008 0.089 0.000 0.00075 0.19138 0.80319 32 chr20  46131073  46131277  5 NCOA3 0.071 0.102 0.025 0.025 0.009 0.00085 0.00670 0.02848 33 chr22  23165423  23165766  6 IGLV2-8 0.045 0.022 0.079 0.083 0.043 0.00090 0.90873 0.01148 34 chr8  8748688  8750268 17 MFHAS1 0.033 0.051 0.004 0.055 0.000 0.00099 0.48925 0.69644 35 chr19  52961147  52961549  9 ZNF534 0.029 0.018 0.044 0.063 0.000 0.00113 0.75367 0.44231 36 chr9  16435499  16436299 17 BNC2 0.034 0.049 0.012 0.077 0.000 0.00119 0.51920 0.84956 37 chr22  23264173  23282921 11 IGLC7 0.041 0.061 0.011 0.131 0.000 0.00129 0.00884 0.29860 38 chr14 106318101 106325773 50 IGHM 0.181 0.175 0.190 0.139 0.024 0.00192 0.00000 0.00000 39 chr22  23235813  23235973  4 IGLJ1 0.059 0.033 0.100 0.266 0.000 0.00225 0.00168 0.05724 40 chr16  11348521  11349221 15 SOCS1 0.108 0.126 0.080 0.292 0.046 0.00303 0.00000 0.07342 41 chr16  10971441  10974194 56 CIITA 0.072 0.084 0.054 0.289 0.082 0.00307 0.00000 0.00000 42 chr5  13864466  13864666  5 DNAH5 0.034 0.056 0.000 0.088 0.000 0.00408 0.40676 0.90937 43 chr6  27777784  27778062  6 HIST1H3H 0.041 0.025 0.067 0.042 0.000 0.00488 0.21081 0.62256 44 chr22  23192413  23214234 46 IGLV4-3 0.061 0.074 0.042 0.162 0.075 0.00501 0.00000 0.65960 45 chr14 106330251 106330601  8 IGHJ4 0.166 0.143 0.200 0.180 0.043 0.00606 0.43909 0.00002 46 chr14 106877716 106878731 18 IGLV4-39 0.050 0.064 0.028 0.059 0.053 0.00685 0.08333 0.00000 47 chr10  90773867  90774067  5 FAS 0.042 0.066 0.005 0.038 0.000 0.00715 0.19681 0.45229 48 chr22  22723898  22724466 12 IGLV7-46 0.057 0.081 0.021 0.094 0.000 0.00728 0.81618 0.00596 49 chr5 137801488 137801798  6 EGR1 0.031 0.052 0.000 0.167 0.000 0.00799 0.01126 0.75859 50 chr22  23242603  23244358 13 IGLC2 0.139 0.164 0.100 0.163 0.094 0.00835 0.72971 0.51511 51 chr22  22930853  22931153  7 IGLV2-33 0.030 0.021 0.043 0.045 0.000 0.00870 0.55261 0.56841 52 chr14 106325852 106329701 73 IGHJ6 0.474 0.471 0.478 0.470 0.362 0.00948 0.02862 0.00000 53 chr3 185697424 185697624  5 TRA2B 0.040 0.059 0.010 0.075 0.000 0.00954 0.0180 0.48859 54 chr6  26056035  26056539 11 HIST1H1C 0.059 0.079 0.027 0.017 0.000 0.00967 0.00022 0.00680 55 chr3  71551102  71551452  8 FOXP1 0.015 0.006 0.028 0.031 0.011 0.00999 0.57172 0.00116 56 chr3 187440190 187661368 137  BCL6 0.106 0.116 0.089 0.126 0.044 0.01002 0.04210 0.00007 57 chr11 128391384 128392103 15 ETS1 0.061 0.059 0.065 0.021 0.000 0.01042 0.00001 0.00039 58 chr13  46959166  46962031 13 KIAA0226L 0.034 0.029 0.042 0.067 0.000 0.01112 0.97915 0.84801 59 chr11 118754794 118765389 17 CXCR5 0.035 0.029 0.044 0.077 0.000 0.01378 0.40303 0.93788 60 chr17  62006521  62009656 27 CD79B 0.041 0.039 0.044 0.083 0.002 0.01401 0.66941 0.59741 61 chr1  2334442  2335149 15 RER1 0.019 0.016 0.023 0.088 0.000 0.01514 0.02024 0.00677 62 chr8 139600458 139601543 20 COL22A1 0.031 0.043 0.011 0.078 0.000 0.01532 0.28495 0.48626 63 chr1  34404023  34404123  3 CSMD2 0.073 0.104 0.025 0.042 0.000 0.01556 0.06834 0.05288 64 chr6  26216780  26216880  3 HIST1H2BG 0.040 0.066 0.000 0.063 0.000 0.01575 0.79954 0.58401 65 chr19  52381612  52381762  4 ZNF577 0.032 0.053 0.000 0.063 0.000 0.01627 0.93639 0.94029 66 chr11  65266553  65267598 13 SCYL1 0.030 0.045 0.008 0.048 0.003 0.01646 0.43210 0.34042 67 chr22  23029498  23029739  5 IGLV3-25 0.085 0.108 0.050 0.113 0.043 0.01712 0.97583 0.80122 68 chr9  78686580  78686830  6 PCSK5 0.035 0.052 0.008 0.073 0.000 0.01813 0.77106 0.87235 69 chr14 106048956 106056101 25 IGHA2 0.071 0.071 0.072 0.180 0.007 0.01828 0.00255 0.02269 70 chr14  69258239  69259639 29 ZFP36L1 0.088 0.103 0.065 0.159 0.013 0.01945 0.03212 0.00000 71 chr5  75913717  75914417 15 F2RL2 0.030 0.044 0.010 0.108 0.000 0.01980 0.01754 0.55332 72 chr14 106926181 106926381  5 IGHV3-43 0.038 0.056 0.010 0.038 0.000 0.01981 0.22178 0.96725 73 chr6  27782719  27782919  5 HIST1H2BM 0.032 0.052 0.000 0.000 0.000 0.02014 0.01525 0.81176 74 chr2 100758484 100758634  4 AFF3 0.037 0.025 0.056 0.078 0.033 0.02064 0.69126 0.04169 75 chr8 136569670 137528538 22 KHDRBS3 0.029 0.041 0.011 0.065 0.000 0.02090 0.60391 0.32890 76 chr6   392761   395016 15 IRF4 0.035 0.031 0.042 0.021 0.000 0.02146 0.00420 0.95404 77 chr8  3141725  4495082  9 CSMD1 0.034 0.051 0.008 0.076 0.000 0.02188 0.57834 0.96296 78 chr14 106330651 106331101 10 IGHJ3 0.057 0.075 0.030 0.150 0.009 0.02210 0.00851 0.25752 79 chr16  30093723  30093923  5 PPP4C 0.034 0.023 0.050 0.050 0.000 0.02254 0.59983 0.95843 80 chr12  92537876  92539341 28 BTG1 0.058 0.057 0.059 0.074 0.012 0.02452 0.27041 0.12731 81 chr17  5366797  5366997  5 DHX33 0.022 0.010 0.040 0.025 0.000 0.02494 0.30467 0.19851 82 chr22  22697728  22698078  8 IGLV9-49 0.041 0.035 0.050 0.047 0.000 0.02532 0.32106 0.47874 83 chr22  23256363  23256463  3 IGLJ5 0.059 0.082 0.025 0.042 0.000 0.02682 0.15950 0.08878 84 chr5 176522450 176522600  4 FGFR4 0.037 0.025 0.056 0.063 0.000 0.02722 0.79786 0.74613 85 chr13 113516230 113516430  5 ATP11A 0.050 0.069 0.020 0.113 0.000 0.02729 0.27017 0.10654 86 chr14 106331551 106331651  3 IGHJ1 0.046 0.033 0.067 0.104 0.029 0.02734 0.59010 0.16336 87 chr2 117951920 117952020  3 DDX18 0.033 0.055 0.000 0.063 0.000 0.02815 0.98381 0.q7542 88 chr14 107210956 107211156  5 IGHV3-73 0.046 0.033 0.065 0.113 0.000 0.02872 0.30080 0.42892 89 chr12  6439714  6439914  5 TNFRSF1A 0.038 0.056 0.010 0.050 0.000 0.02933 0.46779 0.82988 90 chr2 136872526 136875621 28 CXCR4 0.105 0.101 0.113 0.100 0.025 0.03071 0.00337 0.00000 91 chr3 165548199 165548649 10 BCHE 0.012 0.008 0.018 0.081 0.000 0.03118 0.04749 0.00098 92 chr4 188924115 188924865 16 ZFP42 0.033 0.046 0.014 0.066 0.000 0.03190 0.74698 0.62135 93 chr20  25003527  25003727  5 ACSS1 0.032 0.049 0.005 0.138 0.000 0.03215 0.03660 0.87436 94 chr14 106994301 106994899 11 IGHV3-48 0.041 0.036 0.048 0.125 0.043 0.03245 0.00471 0.00001 95 chr16  3779107  3900912 82 CREBBP 0.035 0.043 0.022 0.070 0.001 0.03490 0.47515 0.61294 96 chr2  89544332  89544880 11 IGKV2-30 0.029 0.042 0.009 0.091 0.000 0.03816 0.14785 0.41409 97 chr5 112176757 112176957  5 APC 0.028 0.046 0.000 0.088 0.000 0.03821 0.23210 0.50694 98 chr3 185146279 185198274 20 MAP3K13 0.022 0.033 0.006 0.103 0.000 0.03855 0.00439 0.01617 99 chr11 129739779 129740079  7 NFRKB 0.037 0.030 0.046 0.054 0.000 0.03877 0.49619 0.72943 100 chr12  86198699  86199599 19 RASSF9 0.035 0.047 0.017 0.066 0.000 0.04167 0.79797 0.81991 101 chr12  15813488  15813638  4 EPS8 0.035 0.025 0.050 0.031 0.000 0.04189 0.24118 0.93977 102 chr2  63826278  63826428  4 MDH1 0.017 0.008 0.031 0.203 0.000 0.04203 0.00443 0.12932 103 chr14 107083566 107083891  7 IGHV4-59 0.040 0.054 0.018 0.179 0.043 0.04206 0.00035 0.00040 104 chr22  22735418  22735843  6 IGLV1-44 0.059 0.079 0.029 0.073 0.000 0.04311 0.62445 0.18113 105 chr12  18891268  18891518  6 CAPZA3 0.012 0.005 0.021 0.125 0.000 0.04368 0.00589 0.00868 106 chr14 106174971 106177526 44 IGHAl 0.117 0.117 0.116 0.125 0.027 0.04581 0.05495 0.00009 107 chr13  58207132  58209082 40 PCDH17 0.038 0.047 0.024 0.092 0.000 0.04705 0.03043 0.23893 108 chr6  26156650  26157350 15 HIST1H1E 0.064 0.077 0.045 0.008 0.000 0.04776 0.00000 0.00658 109 chr8  75898191  75898391  5 CPISPLD1 0.012 0.007 0.020 0.050 0.000 0.04779 0.61717 0.01894 110 chr9  37024920  37033770 38 PAX5 0.059 0.060 0.059 0.107 0.015 0.04840 0.84733 0.06185 111 chr17  18001530  18001680  4 DRG2 0.015 0.008 0.025 0.031 0.000 0.04924 0.70570 0.06008 112 chr10  91092212  91092412  5 IFIT3 0.026 0.016 0.040 0.050 0.000 0.05027 0.89626 0.41400 113 chr2  56149511  56150111 13 EFEMP1 0.030 0.029 0.031 0.115 0.000 0.05115 0.00217 0.49133 114 chr6  26032015  26032215  5 HIST1H3B 0.030 0.046 0.005 0.013 0.000 0.05360 0.05680 0.72269 115 chrX  1584325  1655990 29 P2RY8 0.031 0.041 0.016 0.093 0.001 0.05546 0.01173 0.29622 116 chr4 187509885 187557980 16 FAT1 0.028 0.039 0.013 0.094 0.000 0.05661 0.05492 0.36536 117 chr5  11110991  11411801 24 CTNND2 0.031 0.040 0.016 0.060 0.000 0.05690 0.95068 0.19315 118 chr14 106110676 106114376 65 IGHG2 0.213 0.210 0.217 0.147 0.049 0.05698 0.00000 0.00000 119 chr1  4472439  4476599 10 AJAP1 0.030 0.026 0.035 0.031 0.000 0.05889 0.10905 0.59078 120 chr1 110561142 110561742 13 AHCYL1 0.019 0.018 0.021 0.058 0.000 0.05908 0.58438 0.01312 121 chr14 106725296 106726174 14 IGHV3-23 0.099 0.111 0.080 0.027 0.000 0.05952 0.00000 0.00001 122 chr1 111715728 111715878  4 CEPT1 0.022 0.016 0.031 0.047 0.000 0.06085 0.91905 0.26127 123 chr11 118967324 118968024 15 DPAGT1 0.032 0.044 0.013 0.046 0.000 0.06151 0.19789 0.69126 124 chr2  55237199  55237599  9 RTN4 0.047 0.060 0.028 0.063 0.000 0.06231 0.41805 0.17702 125 chr11 111781037 111781637 13 CRYAB 0.025 0.037 0.008 0.082 0.000 0.06377 0.11838 0.14383 126 chr14 106573316 106574003 13 IGHV3-11 0.041 0.054 0.021 0.082 0.007 0.06792 0.84332 0.93964 127 chr18  48231685  48232085  9 MAPK4 0.022 0.020 0.025 0.021 0.000 0.07104 0.07945 0.10112 128 chr2  62934010  63217980 14 EHBP1 0.030 0.042 0.013 0.080 0.000 0.07190 0.51773 0.62080 129 chr22  22677078  22677289  5 IGLV1-51 0.046 0.066 0.015 0.113 0.000 0.07234 0.37625 0.20872 130 chr7 119915407 119915757  8 KCND2 0.038 0.053 0.016 0.039 0.000 0.07723 0.12619 0.48614 131 chr22  23154348  23154798  8 IGLV3-10 0.024 0.020 0.028 0.102 0.000 0.07866 0.03037 0.15798 132 chr6  26045745  26046045  7 HIST1H3C 0.030 0.026 0.036 0.045 0.019 0.08101 0.47189 0.03046 133 chr10 131640290 131640490  5 EBF3 0.040 0.036 0.045 0.100 0.000 0.08357 0.26942 0.76490 134 chr1 109822182 109822782 13 PSRC1 0.027 0.038 0.012 0.072 0.000 0.08367 0.51165 0..24502 135 chr17  18022120  18022770 14 MYO15A 0.039 0.036 0.043 0.085 0.000 0.08686 0.51095 0.37846 136 chr16  85933004  85954924 56 IRF8 0.037 0.047 0.024 0.065 0.012 0.08712 0.41154 0.04982 137 chr2  89986777  89987085  7 IGKV2D-29 0.024 0.021 0.029 0.045 0.000 0.09053 0.66530 0.22260 138 chr2  90249152  90249397  5 IGKV1D-43 0.040 0.033 0.050 0.063 0.009 0.09076 0.87053 0.96927 139 chr2 242793233 242801088 24 PDCD1 0.047 0.048 0.046 0.083 0.000 0.09248 0.64737 0.01000 140 chr6  27100080  27100180  3 HIST1H2BJ 0.033 0.027 0.042 0.000 0.029 0.09735 0.05014 0.09524 141 chr7 110545277 110698122  8 IMMP2L 0.004 0.002 0.006 0.063 0.000 0.10148 0.15804 0.00010 142 chr1 111441723 111442173 10 CD53 0.027 0.038 0.010 0.100 0.000 0.10715 0.04221 0.30553 143 chrX  70612662  70612762  3 TAF1 0.007 0.000 0.017 0.063 0.000 0.10731 0.45417 0.02634 144 chr21  18981234  18981484  6 BTG3 0.020 0.033 0.000 0.073 0.000 0.10744 0.29340 0.11987 145 chr14 107113406 107114196 10 IGHV3-64 0.015 0.013 0.018 0.050 0.000 0.10843 0.80649 0.00490 146 chr22  22380473  22385883 18 IGLV4-69 0.044 0.054 0.029 0.073 0.000 0.10860 0.97247 0.18279 147 chr9  5510590  5570130 34 PDCD1LG2 0.026 0.028 0.024 0.057 0.000 0.11075 0.98596 0.05983 148 chr1  27059147  27106912 29 ARID1A 0.035 0.043 0.023 0.073 0.006 0.11182 0.58280 0.43378 149 chr13  32907207  32912827 17 BRCA2 0.013 0.013 0.013 0.088 0.000 0.11539 0.00502 0.00005 150 chr18  48703170  48703920 16 MEX3C 0.022 0.023 0.022 0.059 0.000 0.11749 0.74407 0.02655 151 chr1 203274698 203276558 33 BTG2 0.131 0.129 0.133 0.133 0.012 0.11791 0.01136 0.00000 152 chr8 128492948 128493298  8 POU5FIB 0.022 0.035 0.003 0.047 0.000 0.11971 0.87638 0.11243 153 chr6  27834969  27835069  3 HIST1H1B 0.043 0.038 0.050 0.042 0.000 0.12081 0.31080 0.40430 154 chr22  23010978  23011307  7 IGLV3-27 0.045 0.059 0.025 0.045 0.000 0.12123 0.15843 0.35845 155 chr1 117078643 117087128 10 CD58 0.022 0.021 0.023 0.025 0.000 0.12266 0.14627 0.06157 156 chr14 106380361 106381326 17 IGHD3-3 0.040 0.040 0.040 0.022 0.010 0.12443 0.00226 0.54240 157 chr12  49415992  49447447 47 KMT2D 0.029 0.031 0.026 0.097 0.000 0.12454 0.00102 0.09879 158 chr22  22782038  22782288  6 IGLV5-37 0.051 0.066 0.029 0.052 0.000 0.12900 0.22779 0.08945 159 chr8  18729446  18729896 10 PSD3 0.036 0.048 0.018 0.100 0.000 0.12911 0.49227 0.67922 160 chr14 106552366 106552466  3 IGHV3-9 0.020 0.011 0.033 0.063 0.000 0.12919 0.69275 0.24178 161 chrX  35820577  35821227 14 MAGEB16 0.021 0.032 0.005 0.080 0.000 0.13076 0.08392 0.03514 162 chr16  81946176  81962221 13 PLCG2 0.027 0.028 0.027 0.058 0.000 0.13686 0.98920 0.29436 163 chr22  22712078  22712594 11 IGLV1-47 0.050 0.063 0.032 0.108 0.000 0.13854 0.36497 0.04398 164 chr3  16419205  16419455  6 RFTN1 0.050 0.046 0.054 0.063 0.000 0.14045 0.43890 0.10024 165 chr11 111613197 111613397  5 PPP2R1B 0.026 0.039 0.005 0.000 0.000 0.14058 0.02490 0.46424 166 chr14 106331151 106331501  8 IGHJ2 0.048 0.047 0.050 0.102 0.027 0.14335 0.33135 0.15651 167 chr1 226923692 226925192 31 ITPKB 0.044 0.053 0.031 0.139 0.000 0.14412 0.00007 0.03739 168 chr6  27100940  27101260  5 HIST1H2AG 0.024 0.020 0.030 0.038 0.000 0.14525 0.54138 0.28737 169 chr10  91358987  91359287  7 PANK1 0.021 0.019 0.025 0.107 0.000 0.15224 0.01412 0.10864 170 chr14  32615406  32615606  5 ARHGAP5 0.020 0.033 0.000 0.100 0.000 0.15384 0.16273 0.16433 171 chrX 119509281 119509481  5 ATP1B4 0.016 0.013 0.020 0.088 0.000 0.15508 0.23890 0.07712 172 chr18  77794426  77795126 15 RBFA 0.014 0.014 0.013 0.075 0.000 0.15602 0.08796 0.00029 173 chr10  89624273  89720888 32 PTEN 0.015 0.016 0.013 0.023 0.000 0.15663 0.04633 0.00000 174 chr14  64330253  64330453  5 SYNE2 0.006 0.003 0.010 0.025 0.000 0.15837 0.74245 0.00357 175 chr9  24545400  24905695 17 IZUMO3 0.030 0.039 0.016 0.037 0.000 0.15955 0.10765 0.43759 176 chr5  54964699  54964899  5 SLC38A9 0.002 0.000 0.005 0.013 0.000 0.16320 0.46997 0.00144 177 chr8 101730377 101730427  2 PABPC1 0.015 0.008 0.025 0.000 0.000 0.16445 0.26379 0.18377 178 chr8 131373025 131373425  9 ASAP1 0.030 0.040 0.014 0.028 0.000 0.16655 0.08650 0.59884 179 chr22  23101393  23101730  6 IGLV2-14 0.048 0.044 0.054 0.073 0.022 0.16893 0.83695 0.56495 180 chr1 109649127 109649277  4 C1orf194 0.047 0.045 0.050 0.078 0.022 0.17014 0.88867 0.40591 181 chr11  65623423  65623473  2 CFL1 0.025 0.041 0.000 0.031 0.000 0.17060 0.58174 0.54924 182 chr22  22797428  22707793  7 IGLV5-48 0.035 0.047 0.018 0.071 0.000 0.17227 0.95304 0.82874 183 chr14 106331701 106331801  3 IGHD7-27 0.026 0.022 0.033 0.125 0.000 0.17412 0.95590 0.56584 184 chr14  96179593  96180293 15 TCL1A 0.050 0.050 0.050 0.071 0.000 0.17445 0.59106 0.01278 185 chr22  23063308  23063658  8 IGLV3-19 0.031 0.029 0.034 0.039 0.000 0.17496 0.31060 0.64225 186 chr17  7576950  7579410 24 TP53 0.040 0.051 0.023 0.107 0.000 0.17822 0.03641 0.51953 187 chr2 148680517 148680667  4 ACVR2A 0.025 0.037 0.006 0.031 0.000 0.18073 0.41320 0.38140 188 chr19  10334564  10341984 35 S1PR2 0.064 0.077 0.044 0.104 0.002 0.18105 0.40386 0.00014 189 chr6 108040229 108042204 27 SCML4 0.025 0.026 0.023 0.060 0.005 0.18315 0.54097 0.01195 190 chr6  27277285  27277485  5 POM121L2 0.042 0.039 0.045 0.050 0.000 0.18414 0.38135 0.41604 191 chr3 186714605 186784290 33 ST6GAL1 0.084 0.091 0.072 0.087 0.018 0.18556 0.01425 0.00007 192 chr19  12902575  12902825  6 JUNB 0.053 0.052 0.054 0.010 0.000 0.18604 0.00259 0.04452 193 chr14 107199021 107199172  4 IGHV3-72 0.045 0.041 0.050 0.000 0.000 0.18636 0.00860 0.27305 194 chr11 102188382 102188932 12 BIRC3 0.104 0.123 0.075 0.104 0.043 0.18760 0.23061 0.02703 195 chr1 185833556 186159096 32 HMCN1 0.021 0.023 0.018 0.074 0.000 0.18799 0.04332 0.00092 196 chr12  18534683  18801013 30 PIK3C2G 0.017 0.020 0.013 0.054 0.000 0.18947 0.52931 0.00001 197 chrX 100610985 100611285  7 BTK 0.021 0.021 0.021 0.116 0.000 0.18957 0.01363 0.10957 198 chr18  64172117  64239317 19 CDH19 0.023 0.032 0.009 0.072 0.002 0.19120 0.37384 0.02195 199 chr2  1652011  1652811 17 PXDN 0.045 0.054 0.031 0.092 0.000 0.19342 0.57240 0.03398 200 chr11 111904097 111904247  4 DLAT 0.037 0.049 0.019 0.016 0.000 0.19688 0.06546 0.70963 201 chr22  22556228  22556628  9 IGLV11-55 0.039 0.038 0.039 0.111 0.000 0.19910 0.04960 0.53925 202 chr2 103148734 103148934  5 SLC9A4 0.024 0.036 0.005 0.063 0.000 0.20039 0.78808 0.29891 203 chr2  48027959  48028159  5 MSH6 0.012 0.010 0.015 0.000 0.000 0.20189 0.09865 0.01894 204 chr4 134727699 134727899  5 PABPC4L 0.012 0.010 0.015 0.150 0.000 0.20189 0.02007 0.01894 205 chr11 134027790 134027940  4 NCAPD3 0.047 0.061 0.025 0.078 0.000 0.20429 0.99130 0.21830 206 chr2  77746603  77740953  8 LRRTM4 0.026 0.037 0.009 0.047 0.000 0.20711 0.60835 0.35208 207 chr1 160319284 160319484  5 NCSTN 0.044 0.039 0.050 0.025 0.000 0.21582 0.05416 0.28073 208 chr18  65179857  65181807 40 DSEL 0.021 0.029 0.009 0.073 0.000 0.21609 0.19591 0.00018 209 chr15  45003679  45008564 12 B2M 0.035 0.046 0.017 0.031 0.007 0.21616 0.04427 0.31773 210 chr1  29069532  29070182 14 YTHDF2 0.043 0.052 0.030 0.040 0.006 0.21620 0.03795 0.84925 211 chr4  80327793  80328143  8 GK2 0.030 0.041 0.013 0.117 0.000 0.21872 0.01766 0.70075 212 chr5 158527643 158527993  8 EBF1 0.052 0.064 0.034 0.055 0.000 0.22009 0.11870 0.13982 213 chr1  3747621  3747771  4 CEP104 0.025 0.037 0.006 0.109 0.000 0.22034 0.26105 0.39687 214 chr2  48059884  48066174  9 FBXO11 0.014 0.015 0.014 0.063 0.000 0.22199 0.44292 0.00401 215 chrX  33146107  33146457  8 DMD 0.059 0.059 0.059 0.359 0.082 0.22404 0.00000 0.00004 216 chr6  26124545  26124865  6 HIST1H2AC 0.051 0.063 0.033 0.010 0.000 0.22855 0.00394 0.11588 217 chr14 106791091 106791141  2 IGHV3-30 0.045 0.041 0.050 0.063 0.000 0.24046 0.72117 0.43844 218 chr3 183209759 183273414 23 KLHL6 0.036 0.036 0.036 0.052 0.006 0.24437 0.12177 0.41139 219 chr17  79478954  79479004  2 ACTG1 0.005 0.000 0.013 0.125 0.043 0.24604 0.05674 0.01689 220 chr22  47570210  47570410  5 TBC1D22A 0.030 0.043 0.010 0.175 0.000 0.24818 0.00334 0.70762 221 chr6  27799169  27799369  5 HIST1H4K 0.022 0.033 0.005 0.038 0.000 0.24870 0.54640 0.19851 222 chr2  65258146  65258346  5 SLC1A4 0.018 0.030 0.000 0.050 0.000 0.25016 0.78384 0.08170 223 chr14 106586201 106586301  3 IGHV3-13 0.033 0.027 0.042 0.021 0.000 0.25073 0.17545 0.97542 224 chr6  26158530  26158790  4 HIST1H2BD 0.030 0.041 0.013 0.016 0.000 0.25147 0.13295 0.69509 225 chr14 106691756 106691856  3 IGHV3-21 0.053 0.066 0.033 0.042 0.000 0.25208 0.23957 0.18828 226 chr10  90579967  90580317  8 LIPM 0.035 0.035 0.034 0.047 0.000 0.25854 0.32941 0.85606 227 chr7  82387831  82784641 19 PCLO 0.035 0.044 0.022 0.049 0.000 0.25896 0.17138 0.85294 228 chr22  23090123  23090338  4 IGLV3-16 0.030 0.041 0.013 0.063 0.065 0.26082 0.88005 0.00186 229 chr2  89475782  89476114  7 IGKV2-24 0.044 0.042 0.046 0.125 0.000 0.26354 0.03650 0.25182 230 chr2  90121892  90122155  6 IGKV1D-17 0.030 0.041 0.013 0.083 0.000 0.26708 0.50393 0.47148 231 chr14 107034666 107035056  7 IGHV5-51 0.038 0.049 0.021 0.071 0.000 0.26981 0.83901 0.54622 232 chr6  26217215  26217415  5 HIST1H2AE 0.024 0.023 0.025 0.038 0.000 0.26983 0.53539 0.29891 233 chr14  84420587  84420787 5 FLRT2 0.000 0.000 0.000 0.025 0.000 0.27098 0.90753 0.00089 234 chr4  40198811  40201559 49 RHOH 0.062 0.068 0.053 0.028 0.015 0.27123 0.00000 0.12156 235 chr14 106539176 106539276  3 IGHV1-8 0.040 0.038 0.042 0.063 0.000 0.27246 0.79783 0.70059 236 chr5  83258968  83259168  5 EDIL3 0.022 0.033 0.005 0.063 0.000 0.27662 0.67082 0.19851 237 chrX  70347817  70348017  5 MED12 0.022 0.033 0.005 0.075 0.000 0.27662 0.38460 0.19851 238 chr18  48512955  48513305  8 ELAC1 0.026 0.027 0.025 0.102 0.000 0.27685 0.05340 0.35208 239 chrX  12993265  12994487 23 TMSB4X 0.098 0.108 0.083 0.177 0.057 0.27705 0.03023 0.53439 240 chr19  6586162  6591037 17 CD70 0.052 0.064 0.035 0.121 0.000 0.27742 0.02768 0.05558 241 chr9  13222186  13222386  5 MPDZ 0.018 0.016 0.020 0.050 0.000 0.27845 0.92556 0.10149 242 chr19  8028409  8028559  4 ELAVL1 0.037 0.049 0.019 0.094 0.000 0.28231 0.39328 0.68881 243 chr17  63010241  63052644 28 GNA13 0.033 0.035 0.029 0.051 0.005 0.29192 0.20921 0.55174 244 chr6  75965847  75969257 10 TMEM30A 0.017 0.018 0.015 0.063 0.000 0.29877 0.61973 0.01289 245 chr2  61118795  61149620 27 REL 0.024 0.030 0.014 0.053 0.006 0.29909 0.79282 0.00093 246 chr8 103663492 103664142 14 KLF10 0.03.2 0.034 0.029 0.103 0.000 0.29943 0.04753 0.77217 247 chr7 122634906 122635106  5 TAS2R16 0.040 0.036 0.045 0.050 0.000 0.30121 0.42497 0.50451 248 chr7 106508491 106509141 14 PIK3CG 0.043 0.044 0.041 0.058 0.000 0.30584 0.28865 0.12742 249 chr19  1376441  1376641  5 MUM1 0.053 0.066 0.035 0.063 0.000 0.30591 0.40617 0.10207 250 chr10  90074240  90074390  4 RNLS 0.012 0.012 0.013 0.141 0.000 0.30697 0.04146 0.05611 251 chr17  56408575  56409585 19 BZRAP1 0.107 0.116 0.095 0.122 0.050 0.31066 0.24386 0.00835 252 chr18  48327695  48327895  5 MRO 0.034 0.033 0.035 0.088 0.000 0.32051 0.36874 0.94107 253 chr2  90212017  90212247  4 IGKV3D-11 0.000 0.000 0.000 0.063 0.000 0.32488 0.18759 0.00295 254 chr3 164730701 164730851  4 SI 0.000 0.000 0.000 0.031 0.000 0.32488 0.89232 0.00295 255 chr18  75683735  75684485 16 GALR1 0.025 0.026 0.023 0.055 0.000 0.32688 0.88862 0.08570 256 chr10  90699127  90699627 11 ACTA2 0.022 0.030 0.009 0.074 0.000 0.32826 0.22549 0.05225 257 chr7 146997184 146997384  5 CNTNAP2 0.020 0.030 0.005 0.063 0.000 0.33654 0.72508 0.12531 258 chr10  90537737  90537987  6 LIPN 0.021 0.022 0.021 0.063 0.000 0.33950 0.63054 0.15262 259 chr8 116616146 116616846 15 TRPS1 0.033 0.042 0.020 0.088 0.000 0.34027 0.10857 0.96046 260 chr6  14117993  14135468 27 CD83 0.061 0.069 0.049 0.146 0.006 0.34145 0.00006 0.25221 261 chr14 106610381 106610741  6 IGHV3-15 0.036 0.046 0.021 0.042 0.000 0.34253 0.25513 0.68243 262 chr14 106962966 106963269  7 IGHV1-45 0.023 0.023 0.021 0.036 0.000 0.34439 0.45188 0.16111 263 chr6  27833409  27833509  3 HIST1H2AL 0.017 0.027 0.000 0.042 0.000 0.34503 0.82367 0.13637 264 chr7  2963819  2987364 44 CARD11 0.047 0.055 0.035 0.075 0.000 0.34677 0.68708 0.00272 265 chr11 134118685 134118835  4 THYN1 0.017 0.016 0.019 0.094 0.000 0.35301 0.26225 0.10870 266 chr14 107258911 107282996 17 IGHV7-81 0.031 0.040 0.019 0.088 0.076 0.35469 0.15903 0.00002 267 chrX  73962124  73963074 20 KIAA2022 0.020 0.028 0.009 0.103 0.000 0.35514 0.00284 0.00632 268 chr3 185236909 185237109  5 LIPH 0.022 0.033 0.005 0.038 0.000 0.35786 0.57454 0.20093 269 chr3  64547205  64580090 11 ADAMTS9 0.028 0.030 0.025 0.091 0.000 0.35888 0.08153 0.38328 270 chr14 106405616 106405916  7 IGHV6-1 0.028 0.037 0.014 0.098 0.000 0.36129 0.28061 0.53891 271 chr11 117712684 117712984  7 FXYD6 0.035 0.035 0.036 0.045 0.000 0.36200 0.39501 0.93264 272 chr8 130692150 130760995 17 GSDMC 0.029 0.037 0.018 0.051 0.000 0.36490 0.59248 0.38946 273 chr22  22749603  22750309 14 IGLV7-43 0.021 0.022 0.018 0.067 0.000 0.36721 0.26604 0.01881 274 chr22  23135153  23135508  7 IGLV2-11 0.020 0.021 0.018 0.098 0.0% 0.36740 0.03964 0.07222 275 chr6  26234655  26234955  7 HIST1H1D 0.042 0.044 0.039 0.018 0.000 0.36781 0.01092 0.23508 276 chr11 112405017 112405578 12 C11orf34 0.029 0.037 0.017 0.099 0.000 0.36795 0.03866 0.51208 277 chr1  2488007  2494707 36 TNTRSF14 0.035 0.042 0.024 0.082 0.000 0.37037 0.15033 0.73903 278 chr18  48591760  48604805 16 SMAD4 0.019 0.020 0.016 0.035 0.000 0.37088 0.36837 0.00422 279 chr18  55274406  55274556  4 NARS 0.015 0.025 0.000 0.047 0.000 0.37631 0.84014 0.07298 280 chrX  90026454  90026604  4 PABPC5 0.015 0.025 0.000 0.031 0.000 0.37790 0.70713 0.06008 281 chr8   623881   624081  5 ERICH1 0.020 0.020 0.020 0.025 0.000 0.38591 0.34374 0.13521 282 chr18  1477566  1477666  3 ADCYAP1 0.043 0.055 0.025 0.000 0.000 0.38723 0.02764 0.48180 283 chr12  48190732  48190982  6 HDAC7 0.043 0.041 0.046 0.021 0.000 0.38786 0.03107 0.34087 284 chr14 106381486 106383981 18 IGHD2-2 0.029 0.032 0.025 0.059 0.024 0.39142 0.82914 0.00001 285 chr5 135381970 135382170  5 TGFBI 0.034 0.030 0.040 0.038 0.000 0.39274 0.28309 0.98151 286 chr3 184580664 184580864  5 VPS8 0.006 0.007 0.005 0.075 0.000 0.40112 0.15248 0.00357 287 chr14 106805291 106806190  8 IGHV4-31 0.038 0.041 0.034 0.117 0.000 0.40201 0.02655 0.49158 288 chr22  23077338  23077588  4 IGLV2-18 0.025 0.025 0.025 0.063 0.000 0.40450 0.82223 0.42774 289 chr11 134129470 134133940 40 ACAD8 0.027 0.034 0.016 0.063 0.000 0.40456 0.61602 0.02024 290 chr1 190067140 190068190 22 FAM5C 0.028 0.035 0.017 0.077 0.000 0.40678 0.18209 0.12955 291 chr19  52493337  52403537  5 ZNF649 0.026 0.026 0.025 0.075 0.000 0.41027 0.52307 0.41005 292 chr15  66727355  66729281 10 MAP2K1 0.035 0.044 0.020 0.069 0.000 0.41169 0.93852 0.51159 293 chr6  94120220  94120720 11 EPHA7 0.024 0.027 0.020 0.119 0.000 0.41348 0.00251 0.10186 294 chr20  23028373  23028823 10 THBD 0.044 0.052 0.030 0.075 0.009 0.41401 0.97196 0.91852 295 chr19  42599891  42600091  5 POU2F2 0.038 0.049 0.020 0.125 0.000 0.41703 0.03149 0.68257 296 chrX  86772954  86773304  8 KLHL4 0.026 0.035 0.013 0.086 0.000 0.41822 0.64743 0.29530 297 chr9  37407370  37407570  5 GRHPR 0.046 0.056 0.030 0.113 0.000 0.42725 0.84925 0.34749 298 chr9  20820917  20946827  8 FOCAD 0.015 0.016 0.013 0.078 0.000 0.43273 0.41122 0.00842 299 chr6  91094619  91905994 10 BACH2 0.051 0.061 0.038 0.100 0.017 0.43292 0.62927 0.61655 300 chr9 139390583 139402863 17 NOTCH1 0.038 0.045 0.028 0.140 0.000 0.44217 0.00038 0.66264 301 chr14 106452661 106453001  7 IGHV1-2 0.020 0.021 0.018 0.080 0.000 0.44604 0.33603 0.09047 302 chr6  26020710  26020910  5 HIST1H3A 0.036 0.036 0.035 0.000 0.000 0.44876 0.01256 0.96541 303 chr9  27950145  27950495  8 LINGO2 0.022 0.031 0.009 0.117 0.000 0.45177 0.00957 0.11783 304 chr7  80285800  80286050  6 CD36 0.013 0.022 0.000 0.135 0.000 0.45506 0.00452 0.01644 305 chr18  13825916  13826416 11 MC5R 0.035 0.043 0.023 0.085 0.000 0.45807 0.35320 0.85391 306 chr9  5450475  5468015 33 CD274 0.026 0.029 0.020 0.049 0.000 0.46045 0.38390 0.02293 307 chr3 185446224 185538924  8 IGF2BP2 0.019 0.027 0.006 0.102 0.000 0.47564 0.05373 0.03579 308 chr1  3800046  3800353  7 DFFB 0.042 0.044 0.039 0.107 0.000 0.47590 0.23069 0.43666 309 chr22  23055368  23055828  7 IGLV3-21 0.034 0.035 0.032 0.107 0.000 0.47614 0.19555 0.90440 310 chr6  27114005  27114545  9 HIST1H2BK 0.023 0.031 0.011 0.021 0.000 0.48388 0.09402 0.14560 311 chr14 107013036 107013186  4 IGHV3-49 0.020 0.029 0.006 0.109 0.000 0.48557 0.05983 0.17265 312 chr22  22453288  22453563  6 IGLV8-61 0.053 0.055 0.050 0.083 0.000 0.48567 0.96231 0.04559 313 chr14 106357891 106357941  2 IGHD6-19 0.000 0.000 0.000 0.000 0.000 0.48646 0.45288 0.03556 314 chr16  33523608  33523658  2 IGHV3OR16-12 0.000 0.000 0.000 0.125 0.022 0.48646 0.05020 0.02436 315 chr7 151943422 151943472  2 KMT2C 0.000 0.000 0.000 0.125 0.000 0.48646 0.10655 0.03556 316 chr22  23114793  23115048  5 IGLV3-12 0.018 0.026 0.005 0.000 0.000 0.49420 0.05467 0.09497 317 chr2  80801236  80801486  6 CTNNA2 0.017 0.025 0.004 0.146 0.000 0.50036 0.00472 0.03774 318 chr22  23161918  23162288  8 IGLV3-9 0.036 0.039 0.031 0.063 0.000 0.50251 0.65174 0.76665 319 chr12 113495365 113534745 80 DTX1 0.058 0.065 0.047 0.075 0.000 0.50409 0.06246 0.00000 320 chr11  65190343  65190543  5 FRMD8 0.050 0.049 0.050 0.038 0.009 0.51163 0.10472 0.60740 321 chr14 106967131 106967366  4 IGHV1-46 0.022 0.033 0.006 0.063 0.000 0.51321 0.66087 0.32094 322 chr12  25205889  25207439 21 LRMP 0.038 0.041 0.033 0.080 0.027 0.51555 0.36573 0.00948 323 chr14 106780611 106780711  3 IGHV4-28 0.036 0.038 0.033 0.125 0.000 0.51984 0.19368 0.92185 324 chr11 125472641 125472891  6 STT3A 0.046 0.055 0.033 0.052 0.000 0.52125 0.24640 0.20117 325 chr11  69346692  69346892  5 CCND1 0.024 0.026 0.020 0.113 0.000 0.52233 0.04449 0.30659 326 chr13  51915234  51915534  7 SERPINE3 0.035 0.044 0.021 0.152 0.000 0.53028 0.03239 0.74664 327 chr5  21783416  21783666  6 CDHI2 0.020 0.022 0.017 0.083 0.000 0.53207 0.16100 0.13344 328 chr12  25398219  25398269  2 KRAS 0.015 0.025 0.000 0.000 0.000 0.53308 0.26379 0.18377 329 chr1  85733208  85742033 19 BCL10 0.021 0.025 0.016 0.056 0.000 0.53493 0.60987 0.00831 330 chr1 107866872 107867572 15 NTNG1 0.013 0.015 0.010 0.063 0.000 0.53686 0.17297 0.00018 331 chr1  86591438  86591888 10 COL24A1 0.029 0.036 0.018 0.075 0.000 0.53874 0.54478 0.46033 332 chr18  30349776  30350276 11 KLHL14 0.033 0.036 0.030 0.091 0.000 0.53960 0.49213 0.94697 333 chr14 106641656 106642261  7 IGHV1-18 0.023 0.026 0.018 0.063 0.019 0.54851 0.55397 0.01550 334 chr17  78343504  78343704  5 RNF213 0.014 0.016 0.010 0.038 0.000 0.54949 0.86764 0.04664 335 chr1 120457961 120459261 27 NOTCH2 0.036 0.039 0.031 0.053 0.000 0.55999 0.22789 0.63380 336 chr17  40467710  40491485 39 STAT3 0.034 0.040 0.023 0.059 0.000 0.56418 0.51376 0.71754 337 chr9  19957357  19958157 17 SLC24A2 0.027 0.031 0.022 0.063 0.000 0.56498 0.75617 0.22788 338 chr3  38180130  38182805 29 MYD88 0.045 0.053 0.033 0.073 0.000 0.56578 0.70668 0.03867 339 chr18  73944894  73945344 10 ZNF516 0.018 0.025 0.008 0.056 0.000 0.56926 0.67544 0.01359 340 chr7 140453013 140453254  5 BRAF 0.012 0.020 0.000 0.075 0.000 0.56966 0.30182 0.01894 341 chr6 159238416 159238766  8 EZR 0.050 0.057 0.038 0.016 0.000 0.57311 0.00246 0.08463 342 chr18  77092821  77093021  5 ATP9B 0.008 0.010 0.005 0.075 0.000 0.57396 0.16232 0.00549 343 chr22  23523568  23610748 22 BCR 0.038 0.045 0.028 0.097 0.000 0.57399 0.04814 0.27043 344 chr22  22673243  22673593  8 IGLV5-52 0.027 0.035 0.016 0.117 0.000 0.57479 0.00701 0.30927 345 chr4  88011078  88011278  5 AFF1 0.014 0.016 0.010 0.038 0.000 0.57733 0.89980 0.03303 346 chr11 131747550 131748000 10 NTM 0.029 0.036 0.018 0.119 0.000 0.57801 0.02773 0.42832 347 chr2  90077982  90078316  6 IGKV3D-20 0.025 0.033 0.013 0.031 0.000 0.57996 0.26904 0.32350 348 chr2  96809890  96810360 10 DUSP2 0.063 0.066 0.060 0.006 0.000 0.58190 0.00002 0.0216 349 chr2  89265757  89265987  4 IGKV1-6 0.010 0.012 0.006 0.047 0.000 0.59812 0.84325 0.02299 350 chr19  53598587  53599037 10 ZNF160 0.024 0.031 0.013 0.063 0.000 0.60291 0.98122 0.12855 351 chr2  63335243  63631808 22 WDPCP 0.026 0.033 0.016 0.091 0.000 0.60661 0.01199 0.09457 352 chr9  21808815  21859450  9 MTAP 0.019 0.026 0.008 0.042 0.000 0.61688 0.80480 0.03120 353 chr6  27860480  27860895  7 HIST1H2AM 0.030 0.033 0.025 0.045 0.000 0.61920 0.45404 0.60865 354 chr6  27819659  27839759  3 HIST1H3I 0.036 0.038 0.033 0.021 0.000 0.62267 0.15955 0.75106 355 chr6  26252155  26252205  2 HIST1H2BH 0.015 0.016 0.013 0.063 0.000 0.62577 0.55784 0.18377 356 chr19  19256470  19293460 41 MEF2B 0.040 0.045 0.032 0.091 0.000 0.62683 0.04274 0.29098 357 chr14 107169646 107170861 21 IGHV1-69 0.091 0.098 0.082 0.107 0.079 0.63032 0.38178 0.00266 358 chr8 113308015 111569195 15 CSMD3 0.013 0.020 0.003 0.046 0.000 0.63047 0.85416 0.00010 359 chr22  22550338  22550788 10 IGLV6-57 0.042 0.049 0.030 0.131 0.017 0.64049 0.04005 0.29687 360 chr4 153249286 153249486  5 FBXW7 0.026 0.026 0.025 0.038 0.000 0.64551 0.50853 0.39977 361 chr11 120127164 120189629 22 POU2F3 0.027 0.033 0.018 0.091 0.000 0.64824 0.02013 0.09628 362 chr12  57496553  57499113 13 STAT6 0.046 0.054 0.035 0.072 0.013 0.65115 0.71967 0.94722 363 chr22  22937193  22937499  7 IGLV3-32 0.018 0.026 0.007 0.063 0.000 0.65348 0.49810 0.05644 364 chr6 138188484 138202489 64 TNFAIP3 0.024 0.028 0.018 0.035 0.004 0.65552 0.00591 0.00002 365 chr8 138849938 138850138 5 FAM135B 0.020 0.023 0.015 0.038 0.000 0.65643 0.70665 0.12531 366 chr14 107218756 107218856 3 IGHV3-74 0.073 0.082 0.058 0.104 0.058 0.66142 0.98960 0.26299 367 chr14  23344698  23345198 11 LRP10 0.059 0.063 0.052 0.034 0.000 0.66215 0.00576 0.01137 368 chr14 106866181 106866595  5 IGHV3-38 0.032 0.031 0.030 0.163 0.000 0.66584 0.01626 0.86518 369 chr1  3547351  3547701  8 WRAP73 0.024 0.027 0.019 0.063 0.000 0.66789 0.68610 0.19690 370 chr21  28213259  28216964 11 ADAMTS1 0.028 0.016 0.016 0.108 0.012 0.67094 0.03910 0.06299 371 chr2 169781121 169781321  5 ABCB11 0.016 0.023 0.005 0.125 0.000 0.67664 0.00990 0.06041 372 chr22  41513341  41574886 72 EP300 0.031 0.037 0.022 0.067 0.000 0.67996 0.51033 0.09371 373 chr18  56054916  56063816 24 NEDD4L 0.016 0.020 0.009 0.031 0.000 0.68133 0.24138 0.00003 374 chr14 106845301 106846516  9 IGHV3-35 0.055 0.064 0.042 0.097 0.000 0.68499 0.76566 0.05591 375 chr14 107136756 107136856  3 IGHV3-66 0.030 0.038 0.017 0.021 0.000 0.68512 0.22171 0.79848 376 chr22  21047068  23047318  6 IGLV3-22 0.043 0.049 0.033 0.042 0.014 0.68905 0.16524 0.80319 377 chr22  22786478  22786803  7 IGLV1-36 0.040 0.047 0.029 0.080 0.000 0.69080 0.82010 0.41665 378 chr8 122626848 122627148  7 HAS2 0.030 0.013 0.025 0.061 0.000 0.70241 0.%117 0.66520 379 chr5 131825018 131825218  5 IRF1 0.026 0.030 0.020 0.138 0.000 0.70868 0.00725 0.42851 380 chr22  21252688  23252788  3 IGLJ4 0.020 0.022 0.017 0.021 0.000 0.71177 0.39782 0.24178 381 chr14 107078456 107078606  4 IGHV1-58 0.050 0.053 0.044 0.063 0.000 0.71737 0.53128 0.17192 382 chr4 154624671 154625021  8 TLR2 0.017 0.020 0.013 0.125 0.000 0.72168 0.00257 0.01197 383 chr2  89196227  89215037 19 IGKV5-2 0.024 0.028 0.017 0.036 0.007 0.73228 0.12196 0.02080 384 chr18  55319681  55359256 17 ATP8B1 0.028 0.031 0.024 0.044 0.000 0.71256 0.29761 0.29755 385 chr1  61553803  61554303 11 NFIA 0.030 0.033 0.025 0.097 0.000 0.73331 0.11994 0.58902 386 chr10  89603603  89604053 10 KLLN 0.024 0.028 0.018 0.044 0.000 0.73666 0.57207 0.12653 387 chr22  23247138  23247609  9 IGLJ3 0.165 0.169 0.158 0.153 0.048 0.73794 0.02871 0.00093 388 chr11 117101044 117101194  4 PCSK7 0.042 0.049 0.031 0.016 0.000 0.71868 0.05815 0.47968 389 chr6  27861245  27861450  4 HIST1H2BO 0.037 0.045 0.025 0.011 0.000 0.74011 0.21815 0.85767 390 chr2  61441170  61441870 15 USP34 0.025 0.028 0.020 0.042 0.000 0.74279 0.23146 0.11749 391 chr11 111234537 111249512 16 POU2AF1 0.030 0.034 0.023 0.105 0.008 0.74126 0.02152 0.08875 392 chr5  5182146  5152446  7 ADAMTS16 0.038 0.044 0.029 0.107 0.000 0.75162 0.19189 0.54007 391 chr14 106667546 106667856  6 IGHV3-20 0.021 0.025 0.017 0.061 0.000 0.75404 0.64784 0.15262 394 chr2 145162402 145693052 53 ZEB2 0.041 0.046 0.032 0.048 0.008 0.76200 0.00643 0.47223 395 chr14 106494091 106494768 12 IGHV2-5 0.027 0.034 0.017 0.063 0.014 0.76623 0.78849 0.01259 396 chr2  65593036  65593213  4 SPRED2 0.057 0.061 0.050 0.250 0.033 0.77068 0.00195 0.40243 397 chr2 141245128 141245328  5 LRP1B 0.010 0.016 0.000 0.088 0.000 0.77497 0.10161 0.00830 398 chr22  23241763  23241813  2 IGLJ2 0.030 0.033 0.025 0.094 0.000 0.77602 0.38252 0.80404 399 chrX 153997384 153997584  5 DKC1 0.042 0.046 0.035 0.075 0.000 0.77946 0.93861 0.49207 400 chr10  5755067  5755267  5 FAM208B 0.016 0.020 0.010 0.000 0.000 0.77955 0.06988 0.04606 401 chr1  35472493  35472693  5 ZMYM6 0.016 0.020 0.010 0.025 0.000 0.77955 0.46246 0.04606 402 chr6  26250460  26250695  5 HIST1H3F 0.028 0.033 0.020 0.013 0.000 0.78052 0.07461 0.50252 403 chr3 176750700 176771710 17 TBL1XR1 0.020 0.024 0.013 0.051 0.003 0.78556 0.88935 0.00559 404 chr18  77170716  77288591 29 NFATC1 0.038 0.043 0.031 0.082 0.000 0.78831 0.61891 0.47180 405 chr13  41133663  41240784 49 FOXO1 0.025 0.031 0.016 0.042 0.000 0.78900 0.09626 0.00465 406 chr8 128951725 128951875  4 TMEM75 0.042 0.049 0.031 0.016 0.000 0.78980 0.05059 0.43332 407 chr22  22681928  22682198  5 IGLV1-50 0.020 0.026 0.010 0.088 0.000 0.79643 0.39142 0.12531 408 chr2  89976277  89976377  3 IGKV2D-30 0.066 0.071 0.058 0.125 0.000 0.79654 0.28677 0.06295 409 chr14 106757726 106758621  8 IGHV2-26 0.026 0.033 0.016 0.039 0.000 0.80101 0.48691 0.27328 410 chr1  2306312  2306812 11 MORN1 0.028 0.034 0.018 0.102 0.000 0.80151 0.03618 0.25568 411 chr14 106384031 106384926  9 IGHD1-1 0.039 0.046 0.028 0.132 0.024 0.81269 0.00673 0.00968 412 chr8 104897562 104898462 19 RIMS2 0.030 0.036 0.021 0.099 0.000 0.81294 0.04875 0.36772 413 chr10  89500958  89501108  4 PAPSS2 0.025 0.029 0.019 0.047 0.000 0.81562 0.75051 0.38140 414 chr1 201038553 201038753  5 CACNA1S 0.034 0.033 0.035 0.113 0.000 0.82537 0.08167 0.99310 415 chr13  84453543  84455243 35 SLITRK1 0.034 0.039 0.026 0.073 0.000 0.82863 0.60871 0.95353 416 chr22  23263508  23264123  9 IGLJ7 0.062 0.069 0.050 0.042 0.000 0.84212 0.02446 0.00290 417 chr5 140208034 140208834 17 PCDHA6 0.026 0.031 0.019 0.051 0.000 0.84499 0.73711 0.13168 418 chr1  23885408  23885899 10 ID3 0.015 0.020 0.008 0.081 0.000 0.84648 0.06666 0.00452 419 chr14 106518496 106519064  7 IGHV3-7 0.035 0.040 0.029 0.054 0.000 0.84779 0.54879 0.79096 420 chr9  22005930  22009000 13 CDKN2B 0.031 0.035 0.025 0.038 0.000 0.85460 0.20627 0.52500 421 chr11  58978693  58979345 11 MPEG1 0.032 0.036 0.025 0.080 0.000 0.85627 0.50475 0.70735 422 chr1 227842647 227842697  2 ZNF678 0.010 0.016 0.000 0.156 0.000 0.85664 0.04034 0.09510 423 chr6 106534267 106555367 60 PRDM1 0.031 0.036 0.023 0.065 0.000 0.86083 0.99103 0.15072 424 chr2 198950435 198950985 12 PLCLI 0.021 0.027 0.013 0.094 0.000 0.86126 0.14473 0.05072 425 chr18  6947105  6980665 10 LAMA1 0.027 0.033 0.018 0.094 0.000 0.86312 0.22629 0.28027 426 chr6  26197105  26197462  8 HIST1H3D 0.021 0.027 0.013 0.000 0.000 0.86864 0.00995 0.09168 427 chr19  51525627  51525927  7 KLK11 0.028 0.033 0.021 0.089 0.000 0.87219 0.14799 0.45199 428 chr2  61719435  61719635  5 XPO1 0.012 0.016 0.005 0.000 0.000 0.87795 0.09496 0.02531 429 chrX 141291053 141291534 10 MAGEC2 0.019 0.023 0.013 0.081 0.000 0.88059 0.07959 0.02755 430 chr14  35873671  35873822  4 NFKBIA 0.035 0.041 0.025 0.000 0.000 0.88119 0.02331 0.96205 431 chr2  89442292  89443217 19 IGKV3-20 0.042 0.047 0.036 0.148 0.050 0.88608 0.00002 0.00006 432 chr1  72334892  72335098  5 NEGR1 0.014 0.020 0.005 0.025 0.000 0.88638 0.51822 0.02712 433 chr1  9784433  9784533  3 PIK3CD 0.007 0.011 0.000 0.083 0.000 0.89151 0.14993 0.02634 434 chr2 170101186 170101386  5 LRP2 0.032 0.036 0.025 0.100 0.000 0.89564 0.18901 0.76737 435 chr7 110737412 110764944 51 LRRN3 0.019 0.024 0.011 0.086 0.002 0.90183 0.00080 0.00000 436 chr3  7620224  7620974 16 GRM7 0.032 0.038 0.023 0.078 0.000 0.90333 0.28646 0.77891 437 chr22  22569333  22569633  7 IGLV10-54 0.031 0.037 0.021 0.063 0.000 0.90702 0.86839 0.77523 438 chr17  75447869  75448419 12 9-Sep 0.031 0.037 0.021 0.036 0.000 0.90976 0.14194 0.64487 439 chr7 148506319 148523734 19 EZH2 0.019 0.025 0.011 0.082 0.000 0.91143 0.05741 0.00268 440 chr14 106621886 106622095  5 IGHV3-16 0.024 0.030 0.015 0.063 0.000 0.91521 0.67996 0.28737 441 chr1 181452915 181453115  5 CACNA1E 0.032 0.036 0.025 0.025 0.000 0.91767 0.14135 0.76209 442 chr2  58520801  58521201  9 FANCL 0.029 0.035 0.019 0.069 0.000 0.92005 0.73186 0.57669 443 chr19  51559442  51561922 16 KLK13 0.032 0.038 0.023 0.113 0.000 0.92076 0.04033 0.89701 444 chr16  2812097  2812747 14 SRRM2 0.056 0.062 0.046 0.045 0.000 0.92192 0.02154 0.01164 445 chr6  41903612  41909397 26 CCND3 0.041 0.047 0.033 0.058 0.000 0.92504 0.14949 0.21095 446 chr14 106068706 106071241 16 IGHE 0.118 0.124 0.108 0.215 0.158 0.92648 0.00059 0.00000 447 chr6 110777719 110778219 11 SLC22A16 0.027 0.033 0.018 0.034 0.000 0.92796 0.19315 0.23193 448 chr9  21970835  21994385 37 CDKN2A 0.027 0.031 0.020 0.039 0.000 0.92888 0.04082 0.03393 449 chr2  90025207  90025522  6 IGKV2D-26 0.012 0.016 0.004 0.031 0.000 0.92990 0.73921 0.01161 450 chr4  7728457  7728657  5 SORCS2 0.034 0.039 0.025 0.038 0.000 0.93035 0.30875 0.99310 451 chr7  5569096  5569356  6 ACTB 0.048 0.055 0.038 0.208 0.007 0.93481 0.00069 0.95055 452 chr3 140281599 140281849  6 CLSTN2 0.036 0.038 0.033 0.031 0.000 0.94099 0.11813 0.72422 453 chr2  89291907  89292182  4 IGKV1-8 0.020 0.025 0.013 0.047 0.022 0.94155 0.86146 0.00511 454 chr22  23260268  23260368  3 IGLJ6 0.043 0.049 0.033 0.063 0.000 0.94574 0.74604 0.48180 455 chr14 106815806 106815906  3 IGHV3-33 0.059 0.066 0.050 0.063 0.043 0.94598 0.41907 0.10857 456 chr6  26123615  26124080  9 HIST1H2BC 0.031 0.036 0.022 0.028 0.000 0.95616 0.07091 0.75304 457 chr3  49397609  49413039 18 RHOA 0.030 0.035 0.022 0.045 0.000 0.95622 0.26281 0.40030 458 chr22  29191137  29196512 28 XBP1 0.032 0.039 0.022 0.085 0.003 0.95630 0.05799 0.16891 459 chr14 106471396 106471580  4 IGHV1-3 0.007 0.012 0.000 0.141 0.000 0.95914 0.00935 0.01524 460 chr17  41847059  41847209  4 DUSP3 0.032 0.037 0.025 0.094 0.000 0.96078 0.74050 0.94029 461 chr17  51900442  51900892 10 KIF2B 0.035 0.039 0.028 0.088 0.000 0.96080 0.24029 0.71768 462 chr15  86312063  86312563 11 KLHL25 0.032 0.037 0.025 0.074 0.000 0.96521 0.83987 0.74482 463 chr18  53804516  53804766  6 TXNL1 0.036 0.041 0.029 0.115 0.000 0.96529 0.05667 0.84317 464 chr5  67590967  67591167  5 PIK3R1 0.018 0.023 0.010 0.075 0.009 0.97792 0.39415 0.02707 465 chr5 124079828 124080678 18 ZNF608 0.026 0.031 0.019 0.063 0.000 0.98245 0.74836 0.14794 466 chr2  90259932  90260232  5 IGKV1D-8 0.034 0.039 0.025 0.163 0.000 0.98690 0.17514 0.96394 467 chr2  88906682  88906832  4 EIF2AK3 0.059 0.066 0.050 0.063 0.000 0.98750 0.34568 0.07429 468 chr4 106157605 106157805  5 TET2 0.018 0.023 0.010 0.075 0.000 0.99542 0.34309 0.09635

Percent Total Non- Nearest Non- Reference SEQ ID Reference Coordinates Gene Reference Bases Plus Strand Oligonuclotide NOS: chr8:128,750,550-128,750,699 MYC  0  0 CGACTACGACTCGGTGCAGCCGTATTTCTACTGCGACGAGGAGGAGAACTT 1331 CTACCAGCAGCAGCAGCAGAGCGAGCTGCAGCCCCCGGCGCCCAGCGAGG ATATCTGGAAGAAAtTCGAGCTGCTGCCCACCCCGCCCCTGTCCCCTAG chr8:128,750,550-128,750,699 MYC  2.5  4 CGACTACGACTCGGTGCAGCCGTAGTTCTACTGCGACGAGGAGGAAAACT 1332 TCTACCAGCAGCAGCAGCAGAGCGAGCTGCAGCCCCTGGCGCCCAGCGAG GATATCTGGAAGAACTTCGAGCTGCTGCCCACCCCGCCCCTGTCCCCTAG chr8:128,750,550-128,750,699 MYC  5  8 CGACTACGACTCGGTGCAGCCGTAGTTCTACTGCGACGAGGAGGAATACTT 1333 CTACCAGCAGCAGCCGCAGAGCGAGCTGCAGCCCCTGGCGCCCAGCGAGG GTATCTGGAAGAACTTCGAGCTACTGCCCACCCCGCCCCTGTCCCCTAG chr8:128,750,550-128,750,699 MYC  7.5 11 CGACTACGACTCGTTGCAGCCGTAGTTCTACTGCGACGAGGAGGAATACTT 1334 CTACCAGCAGCAGCCGCAGAGCGAGCTGCAGCGCCTGGCGCCCAGCGAGG GTATCTGGAAGAACTTCGAGCTACAGCCCACCCCGCCCCTGTCCCCTAG chr8:128,750,550-128,750,699 MYC 10 15 CGACTACGACTCGTTGCAGCCGTAGATCTACTGCGACGAGGAGGAATACTT 1335 CTACCTGCAGCAGCCGCAGAGCGAGCTGCAGCGCCTGGCGCCCAGCGAGC GTATCTGGAAGAACTTCGAGCTACAGCCCACCCCGCCCTTGTCCCCTAG chr8:128,750,550-128,750,699 MYC 12.5 19 CGACAACGACTCGTTGCACCCGTAGATCTACTGCGACGAGGAGGAATACTT 1336 CTACCTGCAGCAGCCGCAGAGCGAGCTGCAGCGCCTGGCGCCCAGCGAGC GTATCTGAAAGAACTTCGAGCTACAGCCCACGCCGCCCTTGTCCCCTAG chr8:128,750,550-128,750,699 MYC 15 23 CGACAACGACTCGTTGCACCCGTAGATCTACTGCGACGAGGAGGAATACTT 1337 CTACCTGCAGCAGCCGCAGAGCGAGCTGCAGCGCCTGGCGCCCAGCGAGC GTATCTGAAAGAACTTCGAGCTACAGCCCACGCCGCCCTTGTCCCCTAG chr3:187,443,281-187,443,430 BCL6  0  0 GCTCACCTGTACAAATCTGGCTCCGCAGGTTTCGCATTTGTAGGGCTTCTCT 1338 CCAGAGTGAATTCGAGTGTGGGTTTTCAGGTTGGCTGGCCGGTTGAACTGG GCCCCACAGATGTTGCAACGATAGGGTTTCTCACCTATTACCAAGAA chr3:187,443,281-187,443,430 BCL6  2.5  4 GCTCACCTGTACAAATCTGCCTCCGCAGGTTTCGCATTTGTAGGGCTCCTCT 1339 CCAGAGTGAATTCGAGTGTGGGTTTTCAGGTTGGCTGGGCGGTTGAACTGG GCCCCACAGATGTTGCAACGCTAGGGTTTCTCACCTATTACCAAGAA chr3:187,443,281-187,443,430 BCL6  5  8 GCTCACCTGTACAAATCTGCCTCCGCAGGTTTCGCCTTTGTAGGCKTCCTCT 1340 CCAGAGTGAATTCGAGTGTAGGTTTTCAAGTTGGCTGGGCGGTTGAACTGG GCCCCACGGATGTTGCAACOCTAGGGTTTCTCACCTATTACCAAGAA chr3:187,443,281-187,443,430 BCL6  7.5 11 GCTCACCTGTACAAATCTGCCTCCGCCGGTTTCGCCTTTTTAGGGCTCCTCT 1341 CCAGAGTGAATTCGAGTGTAGGTTTTCAAGTTGGCTGGGCGGTTGAACTGG GCCCCACGGATGTTGCAACGCTAGGGTTTCTCACCTATTTCCAAGAA chr3:187,443,281-187,443,430 BCL6 10 15 GCTCACCTGTACAAGTCTGCCTCCGCCGGTTACGCCTTTTTAGGGCTCCTCT 1342 CCAGAGTGAATTCGAGTGTAGGTTTTCAAGTTGGCTGGGCGGTTGAACTGG GCTCCACGGATGTTGCAACGCTAGGGATTCTCACCTATTTCCAAGAA chr3:187,443,281-187,443,430 BCL6 12.5 19 GCTCACCTGGACAAGTCTGCCTCCGCCGGTTACGACTTTTTAGGGCTCCTCT 1343 CCAGAGTGAATTCGAGTGTAGGCTTTCAAGTTGGCTGGGCGGTTGAACTGG GCTCCACGGCTGTTGCAACGCTAGGGATTCTCACCTATTTCCAAGAA chr3:187,443,281-187,443,430 BCL6 15 23 GCTCACCTGGACAAGTCTGCCTCCGCCGGTTACGACTTTTTAGGGCACCTCT 1344 CCAGAGTGAATTCGAGTGTAGGCTTTCAAGTTGGCTGGGAGCTTGAACTGG GCTGCACGGCTGTTGCAACGCTAGGGATTCTCACCTATTTCCAAGAA — — — — Minus Strand Oligonucleotide — chr8:128,750,550-128,750,699 MYC  0  0 CTAGGGGACAGGGGCGGGGTGGGCAGCAGCTCGAATTTCTTCCAGATATC 1345 CTCGCTGGGCGCCGGGGGCTGCAGCTCGCTCTGCTGCTGCTGCTGGTAGAA GTTCTCCTCCTCGTCGCAGTAGAAATACGGCTGCACCGAGTCGTAGTCG chr8:128,750,550-128,750,699 MYC  2.5  4 CTAGGGGACAGGGGCGGGGTGGGCAGCAGCTCGAAGTTCTTCCAGATATC 1346 CTCGCTGGGCGCCAGGGGCTGCAGCTCGCTCTGCTGCTGCTGCTGGTAGAA GTTTTCCTCCTCGTCGCAGTAGAACTACGGCTGCACCGAGTCGTAGTCG chr8:128,750,550-128,750,699 MYC  5  8 CTAGGGGACAGGGGCGGGGTGGGCAGTAGCTCGAAGTTCTTCCAGATACC 1347 CTCGCTGGGCGCCAGGGGCTGCAGCTCGCTCTGCGGCTGCTGCTGGTAGAA GTATTCCTCCTCGTCGCAGTAGAACTACGGCTGCACCGAGTCGTAGTCG chr8:128,750,550-128,750,699 MYC  7.5 11 CTAGGGGACAGGGGCGGGGTGGGCTGTAGCTCGAAGTTCTTCCAGATACC 1348 CTCGCTGGGCGCCAGGCGCTGCAGCTCGCTCTGCGGCTGCTGCTGGTAGAA GTATTCCTCCTCGTCGCAGTAGAACTACGGCTGCAACGAGTCGTAGTCG chr8:128,750,550-128,750,699 MYC 10 15 CTAGGGGACAAGGGCGGGGTGGGCTGTAGCTCGAAGTTCTTCCAGATACG 1349 CTCGCTGGGCGCCAGGCGCTGCAGCTCGCTCTGCGGCTGCTGCAGGTAGAA GTATTTCCTCCTCGTCGCAGTAGATCTACGGCTGCAACGAGTCGTAGTCG chr8:128,750,550-128,750,699 MYC 12.5 19 CTAGGGGACAAGGGCGGCGTGGGCTGTAGCTCGAAGTTCTTTCAGATACG 1350 CTCGCTGGGCGCCAGGCGCTGCAGCTCGCTCTGCGGCTGCTGCAGGTAGAA GTATTCCTCCTCGTCGCAGTAGATCTACGGGTGCAACGAGTCGTTGTCG chr8:128,750,550-128,750,699 MYC 15 23 CTAGGCGACAAGGGCGGCGTGGGCTGTAGCTCGAAGTTCTTTCAGATACGC 1351 TCGGTGGGCGCCAGGCGCTGCAGCACGCTCTGCGGCTGCTGCAGGTAGAA GTATTCCTCCTCGTCGCAGTAGATCTACGGGTGCAACGAGTCGCTGTCG chr3:187,443,281-187,443,430 BCL6  0  0 TTCTTGGTAATAGGTGAGAAACCCTATCGTTGCAACATCTGTGGGGCCCAG 1352 TTCAACCGGCCAGCCAACCTGAAAACCCACACTCGAATTCACTCTGGAGAG AAGCCCTACAAATGCGAAACCTGCGGAGCCAGATTTGTACAGGTGAGC chr3:187,443,281-187,443,430 BCL6  2.5  4 TTCTTGGTAATAGGTGAGAAACCCTAGCGTTGCAACATCTGTGGGGCCCAG 1353 TTCAACCGCCCAGCCAACCTGAAAACCCACACTCGAATTCACTCTGGAGAG GAGCCCTACAAATGCGAAACCTGCGGAGGCAGATTTGTACAGGTGAGC chr3:187,443,281-187,443,430 BCL6  5  8 TTCTTGGTAATAGGTGAGAAACCCTAGCGTTGCAACATCCGTGGGGCCCAG 1354 TTCAACCGCCCAGCCAACTTGAAAACCTACACTCGAATTCACTCTGGAGAG GAGCCCTACAAAGGCGAAACCTGCGGAGGCAGATTTGTACAGGTGAGC chr3:187,443,281-187,443,430 BCL6  7.5 11 TTCTTGGAAATAGGTGAGAAACCCTAGCGTTGCAACATCCGTGGGGCCCAG 1355 TTCAACCGCCCAGCCAACTTGAAAACCTACACTCGAATTCACTCTGGAGAG GAGCCCTAAAAAGGCGAAACCGGCGGAGGCAGATTTGTACAGGTGAGC chr3:187,443,281-187,443,430 BCL6 10 15 TTCTTGGAAATAGGTGAGAATCCCTAGCGTTGCAACATCCGTGGAGCCCAG 1356 TTCAACCGCCCAGCCAACTTGAAAACCTACACTCGAATTCACTCTGGAGAG GAGCCCTAAAAAGGCGTAACCGGCGGAGGCAGACTTGTACAGGTGAGC chr3:187,443,281-187,443,430 BCL6 12.5 19 TTCTTGGAAATAGGTGAGAATCCCTAGCGTTGCAACAGCCGTGGAGCCCAG 1357 TTCAACCGCCCAGCCAACTTGAAAGCCTACACTCGAATTCACTCTGGAGAG GAGCCCTAAAAAGTCGTAACCGGCGGAGGCAGACTTGTCCAGGTGAGC chr3:187,443,281-187,443,430 BCL6 15 23 TTCTTGGAAATAGGTGAGAATCCCTAGCGTTGCAACAGCCGTGCAGCCCAG 1358 TTCAAGCTCCCAGCCAACTTGAAAGCCTACACTCGAATTCACTCTGGAGAG GTGCCCTAAAAAGTCGTAACCGGCGGAGGCAGACTTGTCCAGGTGAGC

SEQ ID Name Sequence NOs. TNFRSF14_chr1:2488006-2488106 TCTCTTCTGGCCCACAGCCGCAGCAATGGCGCTGAGTTCCTCTGCTGGAGTTCATCCTGCTAGCTGGGTTC 1 CCGAGCTGCCGGTCTGAGCCTGAGGCATG TNFRSF14_chr1:2488106-2488206 GAGCCTCCTGGAGACTGGGGGCCTCCTCCCTGGAGATCCACCCCCAAAACCGACGTCTTGAGGCTGGTGA 2 GCCCCCGAGCCTCCTCTCCGTCTGCTCGCA TNFRSF14_chr1:2488206-2488306 GATCCCAGTTCTGACCCCAGGGCCTCCCACAGATCTCTTCCCCATGCCCCTGTCCTGGCCGTTGCTGGCTC 3 CGGCGTCCAGCCCGTCCCCTGCTGCCTGG CSMD2_chr1:34404022-34404122 CCATGTTGCTGGCTTACTTGGCATTTCCCATGATCTCACACTGCTGGCTTATTTGGCATTTCCCATGATCCC 4 CTGCTGCTGGTTTACTTGGCATTCCCTA CSMD2_chr1:34404122-34404222 TGATCCCATGTTGCTGGTTTACTTAGCATTTCCCATGATCCCATGTTGCTGGCTTACTTGGCATTTCCCATG 5 ATACCATGTTGCTGGCTTACTTGGCATT NEGR1_chr1:72334991-72335091 ATAGATTAGAGGAAGGAATTCTAGATGAAATTAAGTAAATGAGTTATTTAAGTCAACTAATACAAGTCCT 6 CAAAACTTTGATTATATAGAGAGCTAAACT NEGR1_chr1:72335051-72335151 GATAAATATAGACAAATATAGTGAGCCTATAAATTAAAGCTATACTATGATGAAAAAATAAATGAATAAT 7 TGTGAAATAGCCAAAAATACTAAAATACAG NEGR1_chr1:72335051-72335151 AATGAATAATTGTGAAATAGCCAAAAATACTAAAATACAGCTATAAGGTTAAAAATAAATCTGAATAAAA 8 AATGTAGGAGGGAAAAGTGATTACCTTACC BCL10_chr1:85733207-85733307 GACATGGATCAAATGTAAACAAATGATTACAGCCATTTTATAAAAAGTCATATTCTTTAAAACATTTTTTG 9 TCATCATTAAAAATTAAAAGGCAATAAAG BCL10_chr1:85733307-85733407 TGTCATTGTCGTGAAACAGTACGTGATCTTAAGGGAAGAAACATCTCACTAGAGTTTGCACAAGTTCCTT 10 CTTCTTCTAACTGTAGATCTGGTGGCAAAG BCL10_chr1:85733407-85733507 GAGGAGCCCCTGGGTCCCCAGGTCTGGGAAGTGTAGTTGAAGAGAAGATGGTATTTTCAGTTCTGCCTAC 11 TTCTAGAACAGGCAAATTCAGAGAAGAATT BCL10_chr1:85733507-85733607 AGTAGAAAAAAAGGGCGTCGTGCTGGATTCTCCTTCTGGATGGTACATGACAGTGGATGCCCTCAGTTTT 12 TCAGAGAAATTACTCTCATCTGAATTTGAT BCL10_chr1:85733607-85733707 CTGGAGAGGTTGTTCGTGGCTCCATCTGGAAAAGGTTCACAACTGCTACATTTTAGTCCTACAATAAAATT 13 ATTCAGATGTAAATGAAAAAGTAACTAAA BTG2_chr1:203274697-203274797 ACCCGAGACCTCTCACTGAGCCCGAGCCGCGCGCGACATGAGCCACGGGAAGGGAACCGACATGCTCCC 14 GGAGATCGCCGCCGCCGTGGGCTTCCTCTCC BTG2_chr1:203274797-203274897 AGCCTCCTGAGGACCCGGGGCTGCGTGAGCGAGCAGAGGCTTAAGGTCTTCAGCGGGGCGCTCCAGGAG 15 GCACTCACAGGTGAGCGCATGCCGAGGGGCC BTG2_chr1:203274897-203274997 TGGCGCCACCGGGGGTCGGCCCCATCCCTGCCAGGGCCGTCTTTCTTCTACTCCTGCGGCAGGGTGACCC 16 ACGGGAGCAGCTTTGGGACTCGGTGGCCCT BTG2_chr1:203274997-203275097 CCTCCGACCCCCGGGGCGGCCCGCAGTCCCCAGTTTCCTGGGTCCTCCTCCCCAGCCCTGTGCTCGGGTCT 17 CGGCCGTGGCGGTTCTGATGGGGCGCGCC BTG2_chr1:203275097-203275197 CCTCTACGCTCTCGGAGGCGCAGACCCTGGTCCTGGAGTGCCAGCCCGAGTCCCCAGCTTATGCCCCTGTC 18 TCATTACGGGCTCGTCTCCCTCGCTGGAC BTG2_chr1:203275297-203275297 CCTCGAGATCTTAAGACCCTCGATGGATGTTGTTGCGGGCCGCCCGGTCGGCCGAGGGGTCCCGATGAGG 19 GAAGAAGGTGCAGTCGAGCCTTTTCAACAA BTG2_chr1:203275297-203275397 TTTGCAGTCCCAGTGCGGTTCTTCCTGCCGGTCGGGGTGCGCGTGCCTGGGGTAGTCCACTGGTTGCTGA 20 CTGGCTTCAAGTTGGAATTTGGGCCCCCT BTG2_chr1:203275397-203275497 TTGTGTTATCTTTGGTTCCCCTTAGCCATCTGCCACCTATTGTGGTAGGGAGGAGAGCCTCGTAGCTCGTG 21 ACCCTGCCGTGCGGGCCTTCAAGTTGGGA BTG2_chr1:203275497-203275597 GGTGAAGAGATAAGCAGCCCGCTCGCTGGCTGGGGAGAGACCTCTCTCCCAGCTGTTTCTAGCTGGTTAC 22 TGTCAGTTTTGGGAAGCGATAGCCATCTCG BTG2_chr1:203275597-203275697 GAACGCACCCACACAGACCCTGCCTTCTGAGGAAAACAGATGTTTCATCAAAACAACCCAGTTTTCACTC 23 CCTTAGGCACTGCTAAGGAAGGTTCTCTTGA BTG2_chr1:203275697-203275797 CTCTTCTGAAGGAAGCAGAGGGAACACAGGGTGGGAGGTCCAGTGACTTGCTGTGGACCCAACAATGTTG 24 GCAGCCTTCCTGGCCCTGAAACTTCAGCTC BTG2_chr1:203275797-203275897 ACAGGTCTCCAGAGGCCCTGCCTGGACATGCCAGTCCCAGTCACACCCTTCCCTTGCTTTGGGGGTGTGCC 25 AAAAGCAATACACTGGCCACTAGAGAGTA BTG2_chr1:203275897-203275997 CCCTAGAGCTCTAGAATCCCCTCCCAACACGCACACACACACACACACACACTCTCTCTCTCACACACACA 26  CACTCAGTCACACACACACACACACACAC ITPKB_chr1:226923691-226923791 CTTTCAGATCTTTCGCAGCGTCCCAACAGGGCAAAGGCTCCAGCATTCTGCCAGAAGGAATTCCCGCCTCC 27 ACATTCCCGGTCCCCGGCTGTGCTGAGGG ITPKB_chr1:226923791-226923891 GCTGCCCCCAAGCAAGCCCAGCGTTGGGGACCCTCCCTCCACTCTGTCGGAGAGCTGCCAACGCCCCCCG 28 CCCACGGGGGCCCCACTTCGGGCCTCCTCA ITPKB_chr1:226923891-226923991 GGGCCTACGGAGGCCAGGGCCCTGGGCAGCCTGGACCAGCTCAGGGAATCAGAGGACTCTGCGCTTTGC 29 ACGCTCACAGTCGTCTCCTCTGGCCTTTTGC ITPKB_chr1:226923991-226924091 CCACTTCAGGCTCCCCAGAGCCCGGCATGCCACAGGGCAGATATCCTTTCCCCATCTTCCCAGGGGGTTCT 30 CCATCGCGGGGCCCGCCCCTTTCTGGGGC ITPKB_chr1:226924091-226924191 TGGGCTTTGTCTCACTGCCCAGAAACTGCCCCTGCCTCTCCACCAGGGCCTCTGGGGGCTGCAGGTCCTCAA 31 GCTCACGGGCTCTCCCAGACGGCTCAGTG ITPKB_chr1:226924191-226924291 AGGGCAAGATCCTGTGGACGGTGTGGCCCAGTGGATGTAACTCTGGCTGCCACTTCCGTGGCCATCGTTA 32 AGCTAGCTCCGAACAGCCCCAATGAGGGAG ITPKB_chr1:226924291-226924391 CTAGGCAGCTCCGAGTTCCCGGGGTAGGAGAGCCCCTTTTGTCAATTTCCATAGCTGTGGGTGAGCCACA 33 GCGGGGACTGGCAGGGATACCCTTCTCCAT ITPKB_chr1:226924391-226924491 CCTTACAAAAGCGGATGGACCCTGAGCCTCTGATCCTGTAGGGGCAGCCCGGCCGGGAAGAGGTGGCATT 34 CCTTTCTTCACCTGCGAGGAGCATAGGCTG ITPKB_chr1:226924491-226924591 GGCCCTCCTTTCCTCCCGGAGTCGGTTCCTGAAGTCTCTGGACATTGCTCCCCCCAGGACTTTGTCCTCCG 35 TTCCTCGCTCCGGGCGCCCTGAACCAGGA ITPKB_chr1:226924591-226924691 CCCTTCCAGGGGGCTGACTGCTGCTGCGGAAGGGGCACGGGGAGGGCGAGCGAGCCCTGCCCAAACGCG 36 GGCTGCGGGGCGCTTGAATGGCGGAGCTCTG ITPKB_chr1:226924691-226924791 TGCCTGGATGTGCGCCTCAAACATGCCCACTTTCTGGTTCACCTGCACGTTCTGCAACTCGCGCTGCAAGA 37 TCCGCAGCTTCCTCTTGGCCTCCTCCGGC ITPKB_chr1:226924791-226924891 CCTGGCGGGGAGAGGGTACCGGCTGCCACCACCTGCTGCCGGTCCCCTCGCAGGCGACCAGCCCAACTTG 38 GGCTGCTCACGCTACTGCCGCTGCTGCCGC ITPKB_chr1:226924891-226924991 TGCCACTGCCGCTGCTACTATTCAGCCTGCGCCGGCCGCTCCGCCAGCCCCCGGGGCTCCGGGGCTCCTCG 39 GGGGACAGCGACTCGGCTGGGGGGAAGAG ITPKB_chr1:226924991-226925091 GAAAGAGGCGCCTCTCCCGGGGCTGAAAACGCTGCCGGGGCTCAGCACTGCCCTCCTCGGGGGCGGGGG 40 CGTCTCGCTGCCACTGGGCCCCGGGCCGCCG ITPKB_chr1:226925091-226925191 CCGCTCTTCATCTCGTTGGCGCTATTCATGATCACCAGGCTATTGAGCGCATAGCAGTACACAGCCATAGT 41 ACTGGGTCCCGCGCTGCCCGCCGCCGCGG ITPKB_chr1:226925191-226925291 CTCCCGCTCCTGCTCCGCCGCCGGCGCCTCCTCCTCCCGGCGCTCCCGGCTCAGCCCCGGAGGCCCGGCAG 42 CCGCGGCTCCGCGCGCAGATGGGGCGGCA SLC1A4_chr2:65258145-65258245 AAGTGCGAAGGAAGTGTCAGGCTGGATGTCAAAATGAACACCTTGGAGAACTGGATGATGGAACAGACG 43 GTAAAAATCAGCTAAACATCAGAGAAAATGG SLC1A4_chr2:65258245-65258345 AGGAAGAGGTCAAAACTGTGAACAGGAACTAGAAGAAAGTGTAGCAGAAAAAGACTTGTCACAAACTTC 44 GAGAGATTTCGAGAAAATGATGTCAAAACAC SLC1A4_chr2:65258345-65258445 ATCTTCCTCAAGCCCATGCTGAGTATCTCTGATTTGGTTAATTTCTTGGTAAGTGTTCCAAGTACAGACAA 45 CAAAGCAGAAAAGCACTGATTACAGGGAA SPRED2_chr2:65593035-65593135 TATGCAGAATGATCCTTCAGATCATGTGAACGCTATAATTAAATGTTGCTACCAAATCCCCACTACCCTTT 46 CTCCCACCTAGAAAAAGTTAATGCATGAA SPRED2_chr2:65593135-65593235 TTCAGTATGAGCAAATTGTGATTTATAAAAACAAACAAACAAACAAACAAACAAAACCCACCCTATTCAC 47 TCCGTAGGGGAATAAAGCTTTCTTGCATTA SPRED2_chr2:65593180-65593280 AACAAACAAAACCCACCCTATTCACTCCGTAGGGGAATAAAGCTTTCTTGCATTAAGTCACGCATCATGG 48 GGGTAGGAAAAAAGCACAGTACTGAAAGAA EIF2AK3_chr2:88906681-88906781 GTGAAGTGACCAAATGTAGCCCAGAGATCCTAAAGAAAAAACGATGCTCATGTGTTACAAAACAAAATT 49 TTAAGGCAATCAGTGAGGAATCACAGACAA EIF2AK3_chr2:88906781-88906881 ATTTCCTTAGTGCTTTTATCAAGGTTGAATCTGAATATAAATTACTAGAGGAAAGCAAATCAGATTTCACA 50 TCTGAAAATTAAAAACAAAATTCTTAGCT IGKC_chr2:89127261-89127361 AGGCAACAAAATGAGATCCTGTCCCTAGAAAACATTTCAAAAAATTAACAGCATGGTGACGCACACTTGT 51 AGCCCTAGCTACTTGGGAGGCTGAGTGGGA IGKC_chr2:89127461-89127561 AAGAACTTAAGCAGACTAGGATATAAAGTATAGGAGCGTATTGTGTACAGGAACGGGAAATACTGTTTCC 52 TGGATCTTTTGTTTCACTTACGCACACACC IGKC_chr2:89127561-89127661 CACACCCGCCAGTAGTGTACCAGGTTGCGATGGAAATCTCTCTCTTTCTGTGGATGAGTTTGTGGAAGCCC 53 TTGCTCCAGCATGCCCTCCTTCCTGCCCA IGKC_chr2:89127661-89127761 CCCCTGGACCATTCCTTCCCTTCACAGCACTGTCCCATGGGTAGGCCACAGCCCAGCACAGGCCCCAGCCT 54 GGCGGCTGCAGCAGGAGCCCCATCCCAGG IGKC_chr2:89127761-89127861 GCCTGAGGGGCCATGCGGGGGTCTGGGTGGGAGTGGGAACCGCTGAGGAAGGTGAAGGGAAATATGGTG 55 AGATGACAGGCCCGCTGTCAGGGAGAGTGGG IGKC_chr2:89127861-89127961 AGGAGCCCTGGAGTGCCCTACCTCTGTGGGGCTGGAACTCCCTGTATCCGAGCTAGGGTCTTCCACACGC 56 ATGCTACTACCCCAAGTGCCACAGCTGGAG IGKC_chr2:89128431-89128531 TCATCTCCCACTGGATAACAGTGTTGTCGGGAACTTCCATCCAGCACTGGCGGACACTCCCGTCGCAGCTG 57 CTCCTGACTGAGCAAGTCATTTAAGGGGG IGKC_chr2:89128531-89128631 TCCTTGGCACTCATAAGCACTCACAGAATGGGGCTGGCAGTGCGCCCGGCCTCCCTGGGATGGGTCCAGA 58 ATGGTAGGAAGCGCAGTCCGGGAGGGACCC IGKC_chr2:89131726-89131826 ACTGCTTAGAGCTCTCAGCCCTAGATGGCGTATCACAGTTAATGCTCTATAAAACCCATCATGGCTTTTCC 59 CTAGTAAGCCTCAAATCGCTGCAAGCAAG IGKC_chr2:89131826-89131926 GCTTCATATATGAGAGTTTCTGCTGTCTCCTGGAGCCATCTCACCCAAAGCCACTGACTCTGGGAGACCAG 60 CCCAGGCCACAAACCAGCAAAGCACCAGT IGKC_chr2:89131926-89132026 TATAGTTAGAGCTGCATTATAAAGTGGCCAGAGGACATTTCTTTGCAGTGAGATGTGTATCGTGAACGTT 61 TGGGGCCTGTGCTCGCCTAGTCCTCATCTT IGKC_chr2:89132026-89132126 TGCTTTTCTAGGTACACAAAGCCATCCCATGGCTGCAAATGTTAGCTGGGCTGGGCTCCCTACTTGCCTCA 62 AGCCCCTTCATAGACCCTTCAGGCACATG IGKC_chr2:89132126-89132226 CTTTTCTCTGGACGTTTACAGACAGGTCCTCAGAGGTCAGAGCAGGTTGTCCTAGGGAGCAGGGAGGCTT 63 CCTAGGGAGGTCAGACTCCAAATAGTGGAT IGKC_chr2:89132226-89132326 ATGGCAAAAATGCAGCTGCAGACTCATGAGGAGTCGCCCTGGGCTGCACTAGGGCTCCCACAGTGTGCG 64 CTGCCAACCTGCTGCCCGTGCAGAAACTCT IGKC_chr2:89140556-89140656 CAACTGTGCCCTGCACTGTTAGGGCCCTTGTCAAAACAACACATTTCTCAGTGATTCTGAGACTCTTTCTC 65 TTATCTATAGAAGTCATAACTCAAGAGTA IGKC_chr2:89140656-89140756 AAATCATACCAATATTTTACATAAACCCTAGAATTTTTATAGATCTATTATTTCTTTTTTAGAGTACATATTG 66 GAAGTAACTTCACAAGGAACATTTTCTT IGKC_chr2:89140886-89140986 TCTGGTCAAACCACTCCACAAATAAAGTGGACTGATCCTCTTGACTCTATGTGTAAGTGCCCATTGTGTGT 67 GCACAGAGCTGGTGAGAACGGCCATGGTG IGKC_chr2:89140986-89141086 CTAGGTGGGGGTGGTGTTGGTGGAGTTGGACTAGATTATCTGGGATCATGCGAAATGGAAATTCATTTCT 68 AGCTGGCTGGCTTCAGAAGGTGCCATCTCC IGKC_chr2:89141086-89141186 TATTTTTATATGAAGCGTGCTTTGGAACTCAGGGCAACGAAGGGTGGGTGTGCTGCACAAGGACAGCAGA 69 AGAGTGAGCTGACTGGTCCCTGAAATCGCA IGKC_chr2:89141186-89141286 GTTGGAAAGTGGATTACCAGTGCAGTAGAACTCTTCACGGAGGCCTGGACCATCAGGTCTAATGGTGTTG 70 TTCCAGGTGGGTGGTCATGTGGAGCAAAAA IGKC_chr2:89141286-89141386 TATTTGAAATCAGCGAGCACGTACCTGAGAGATGACTTTTCCACTTGGGCTAGTCTCTTGATATTTCTGGT 71 CCTGTTTCTTCATCTGTAAACTGGGTTAG IGKC_chr2:89157326-89157426 AAGGAGACCAAGAAGCGTATTTAAAATCTTGATGTTTTGAGTTTCTTCCTAGCTTCCCCCTATTCCTTAAT 72 AAAGTTCTAAATTGTTTTGTTGGAGCTCT IGKC_chr2:89157426-89157526 TTGCAGCCATTCTGAGGGCTTTGCATGCTTTTCTGACCTTGCAGTAAACTCAATGCTTTAGGCAAAGAATG 73 GCCACGTCATCCGACCCCCTCAGAGTTTA IGKC_chr2:89157526-89157626 GAATTCAGAACAGGTCTGAAGAAGACCAGGCAGCGGCTGAGTCAAGGAAAGCCTCCGTCCGCTTTTATTT 74 CCCCTGTGCCTCTTCCAGGACTGTGCTGGG IGKC_chr2:89157626-89157726 ATAACAGGCTCCCGGGGGTTACTTTGGCTGGGCTGGGCTAAAACCTCCCTGCAGAGCAGGCCCTGAGCCC 75 TGCCTCTGCGCCTGGGTGGTGTCAGCCCCT IGKC_chr2:89157726-89157826 CCACCTTCTGACTGTTCCAGCAACTCTCTAAGCCCTCCCAAAGGCCTCAAGGCCTGTAACCATATGCAGCA 76 ATTTTCAGCCATACCAGGAGAGGTCAACT IGKC_chr2:89157826-89157926 GTAATCTTGGCCACCTGCCTAAGAGGAAGTGGCTAGCTTCACTTCTGACCCTCAGCAACTGCCAGGTGGC 77 CTCTTGGAAATCCCCCTCTGGGGGATTCCA IGKC_chr2:89157926-89158026 CCCGTTGGGTGGGAGAGCAGTAGTTAAAATGTAAAATAAGAATCTTTTGCTGGGAGAAGTCAACAGATAG 78 GGAGAAGTCAGCTGATAACAGAAATAGTTT IGKC_chr2:89158036-89158136 TAAAACTAACTTCACTGTTAACCAAGCAGTTCAACATGAAAGACTGAATCTCTTATGTTTAATATTTTCTT 79 CTCTTTTAATCTTCATAACTAATTTTTTT IGKC_chr2:89158136-89158236 CAGATAATTGTATAAAATAACCATGGTAGCAAAATAATGTGATCACTGGAAAATAAGCAGGGAAAAACA 80 TGCTATGAAGATACTCCTATCTGGGTGAATT IGKC_chr2:89158236-89158336 CTTGATAGCTTTACATTTTTCATCTGGCATTTAAACATTAAACAGTTAATGTATTTGACATGAAAATTATT 81 TCAAGTTATCTTATTAGTTTTAATAGAGT IGKC_chr2:89158336-89158436 TTAAAAAGTGTTTAAAAGAGTTTTCAAAAGGCTCTAAAATCATTTTGAAATAGTTTAAAACAGTTTTGAAT 82 CGTTGTAAGTTAGTTTTAATAGAGCTTTA IGKC_chr2:89158436-89158536 AAAAGGCCCTAAAATAGTCCTATCAAGTTGTTGCAGACCAAAATAATCTCCTTAAATATCACTTTTGAGAT 83 CAGCTGGGGTAAACGACAGCAACACAATG IGKC_chr2:89158536-89158636 ACAAATCATTAAACTATTTTAGAGATTATGAAATTAAAATACTCAGATTAAAATTTTCCTATCACAGAATT 84 AAGGTACTGGAAAATATGTTTAAGTTTTT IGKJ5_chr2:89158636-89158736 ATTAATCACATTGCTATAGGTTTAGATATTTTGTACAACTGAAATAAAATCACACACTGGCAGCTACATTT 85 TTGAAAGTTAAAAACATGGTCACGAATAT IGKJ5_chr2:89158736-89158836 ATCTTATTTTAAAATCAGTTAATATACCTTAATGGTATTTAATGCCAAATTCAAAGTGAATTGATCAAGCC 86 CTCAGTGGCCAGGTCATGGGTGTGATTTT IGKJ5_chr2:89158836-89158936 TACTCTGAAAGAATTACATATTTCTTTCTTTTTGGTTGAGCTTTTGTTATTTAAATACATTTGATGAGAGG 87 ATATTGAAATAATTAAATAGCACTGAAAA IGKJ5_chr2:89158936-89159036 AAAAAAAGCTTTAAATTATTTACAATCCCCTAATGGAAATTTTCACTAATGAGATATCATAATGAATGTGA 88 ATTTTATTTCTGAAATCTCTAATAAATCA IGKJ5_chr2:89158941-89159041 AAGCTTTAAATTATTTACAATCCCCTAATGGAAATTTTCACTAATGAGATATCATAATGAATGTGAATTTT 89 ATTTCTTGAAATCTCTAATAAATCAGTCTT IGJK5_chr2:89159041-89159141 CTCCCTGGTTTTCCCAGCTCAGCGCCCATTACGTTTCTGTTCTCTTTCCCTTAGTGGCATTATTTGTATCAC 90 TGTGCATCAGGAAAGCTGGCTACGGCAG IGKJ5_chr2:89159141-89159241 CATCAATCGGGCAGACACAGGGTGGCCACGGCCACTAGCGGCAAGGCGGCTGCCCCAAGAGCGCGGTGG 91 CATGGCCACCAAAGCCACTCAATCGAGAAAG IGKJ5_chr2:89159241-89159341 ACCGCGGCTCTGTCTACAGCTCGCGGTGCCACGGCCTTCTTGGCAGAATAAAAATGTAGACAAGTAATAA 92 CAGAGGATAATGAAAGAACATACTCTTTAA IGKJ5_chr2:89159341-89159441 AATATTTCCTATTTTTTTCACAGACCCACGGTCATTAAAAAATGCAATTATTTACTTTTTTTCATTTAAACA 93 CATTTCTTTGAGATTGAGCTTTTGGGAA IGKJ5_chr2:89159441-89159541 TAACCACCTTTCCACCATTACAATAAGAGATAATTTCACGTTTAGTCTAATGTACAAATTGGATTTTTAAA 94 AAATGAGCTCTATCTGTGAAGCCCTTATT IGKJ5_chr2:89159511-89159611 AAAATGAGCTCTATCTGTGAAGCCCTTATTCCTATAGAATGTGTCTTTTTGAGTTTATTACTTATTACAGA 95 CTCTAAAAACAACATTGCTGCTGATTTTC IGKJ5_chr2:89159611-89159711 AAGTAAGCTGCCTCTTCTACATAGCAAATAGGTACACTTCACTTTTCCCTGATTTTTCTTAGGGCGTGCTA 96 TTGATTTTTATTGTTGTCTGACAAAATAA IGKJ5_chr2:89159711-89159811 TTTATCAAACAAAAGGGAGAAAGACTAAAAAATGTATTTTTCCACTTTTCTGTATCATGCATAATCAGCAA 97 CAACCAATACAATATTTGGCAAGAGTGAA IGKJ5_chr2:89159811-89159911 CAAAAATAAATTTACTTTTGCTCCTTAGAAATACAAGGGTTCCTTTTTAGTTACACTTTTTTTTTTTACTTT 98 GTGTCATTCAGTTTAGAGCAATTTAATC IGKJ5_chr2:89159911-89160011 TTTTTTTCTCCAAATCCATTTTTGAAGCTGAGTTTAACTTTTGCAACCCATGGCAAATCTTAAATGCCCTCA 99 TTTACCAATCTTTACCAAACTCCTATTT IGKJ5_chr2:89160011-89160111 AAGCCTCTAAAAGTCAATACTGGCCATCAGACCCAAATTTCAGAAGACAATAGTGAAAAATTACTTACGT 100 TTAATCTCCAGTCGTGTCCCTTGGCCGAAG IGKJ5_chr2:89160111-89160211 GTGATCCACAGTGTTAACTTAATTACTTTCCCCTTAACAAAAATCTCTTTTCGCTGTTAATATCACTAACCT 101 GACCGATGCAGAGAAAATCTTGCAATTG IGKJ4_chr2:89160211-89160311 AGATGCCTCACTTAACTGGCTAGCGCTTGGCTGTTCCTTAAGATGAACTAATTTTCTATCCCTTACTCATC 102 TGACTTTTTGAAAGAATCTGGTACTCTTT IGKJ4_chr2:89160311-89160411 GGAATTGACCTGAGCTAATATCTCAAACACAAAAACGCTCCAAATTTAAAACCTTATAAGAAAAAGCATT 103 AGGAAAGTGCACTTACGTTTGATCTCCACC IGKJ4_chr2:89160411-89160511 TTGGTCCCTCCGCCGAAAGTGAGCCACAGTGAGGGATCTCACCCTTTCCCCTCAACAAAAACCTCTCTTGA 104 AGCCAATCATATGAGATAGGCTGCTTGTT IGKJ4_chr2:89160511-89160611 CAGAGAAAAATCTAGCTATTTCTTCCCCATTTCCCCCATGAATCCTATTCTCCTCTCAAACCCAATGATTC 105 GTCTATTTGCTCAGCTTTTTAAGTTCATT IGKJ3_chr2:89160611-89160711 TTCTGGTGTCCTGCTATTTACTTCTGGGTCACCAGGTTTATTCAACCAAAATATCACAAAACTTGCACAAA 106 TGATACAATGGCACTAAAATCTCACGAAT IGKJ3_chr2:89160711-89160811 AATTGAGACAGATGTACTTACGTTTGATATCCACTTTGGTCCCAGGGCCGAAAGTGAATCACAGTGATTC 107 GTCTTAACTTTTCCCTTTACAAAAACCTCC IGKJ3_chr2:89160811-89160911 CTGAAAGCTCAGCAAGCCTCTTTCCCCCAATGAAGTTATTTTGATTTAGAAATCTTAAAAATTAGCCACAA 108 GCTAGCGTCCTGTGGAACAATTTCCCCTC IGKJ2_chr2:89160911-89161011 CTCTGTACCTAACCTGGGAATGAAGTTTGTTAGATCCCTGGCATCCGACTAATGAAAATCCACACAAAGG 109 AACACAAAGTAAACTAATTAGCAACAGTGA IGKJ2_chr2:89161011-89161111 AGAATCAGTGGAAAAAAGTACTTACGTTTGATCTCCAGCTTGGTCCCCTGGCCAAAAGTGTACACACAAT 110 GGTTCCTCTTAACTTCCCTCCTATACAAAA IGKJ2_chr2:89161111-89161211 ACTCCCTTTCTGACAATTGACCAAGGCTCTGTCCAGAACATGTTATGTTCCCCAGGACATTTCTGAAGCTA 111 TTACTTAGACAAGTTATTCTCACCCAATG IGKJ1_chr2:89161211-89161311 ACTGAATCTTGCTTGCTCTTCAAAGAAAATGTGCAATCAATTCTCGAGTTTGACTACAGACTTATCTTTAT 112 CTTTTCCCTGAAGGATATCAGAGGCTGAT IGKJ1_chr2:89161311-89161411 TGCAGAGTCACCTTATAGATCACTTCATAGACACAGGGAACAGAAGACACAGACAACTGAGGAAGCAAA 113 GTTTAAATTCTACTCACGTTTGATTTCCACC IGKJ1_chr2:89161411-89161511 TTGGTCCCTTGGCCGAACGTCCACCACAGTGAGAGCTCTCCATTGTCTTGCTGAACAAAAACCCTTCTCAC 114 CAAAGGGGAACAGAGTCCTGGGTCAGCTG IGKJ1_chr2:89161926-89162026 ATCAACTTAAGGCTCATAACTTTGAAATGCATTTTGAAATGTAGCTCCAGATGGTATACGAAACCAAAGT 115 GAAGACTAATAGAGTAGAAAAGTAGACTTT IGKJ1_chr2:89162026-89162126 ACTTGGTTGGTTTGTCTGTTTTCACAGCACAGGAAGAGCTCAGCTCTTACTGAGCTGGACCAGGCGCATG 116 CCATCTTTGGAGCTGCCATGGAGTCCCAGT IGKJ1_chr2:89162126-89162226 GTTCCATAGTGTTTCCATAGTAATCTCATCAACAACACTGAAGACCTTTTCAGTATTTTCTTTTGAGTCCA 117 GCTCCATTTTTGCAGCCTTGTATCTCTCT IGKJ1_chr2:89162776-89162876 CCGCGCCCAGCCGAGTGCCTGTTTATTTTTACCTGCTTTCAGATTCTCTTCTACCCTTCTAAATTATAAGCT 118 GTTTGATGTTTTATTTGCCCTGTATTTG IGKJ1_chr2:89162876-89162976 GGAGGCTCCGTCCAGTATCTTTACTTAGCAAATGCTTAACAAACATTTTTCAGAATAAATAAAAAAAAATA 119 CCTAATTGAAAGTCAATAATAGATCAGAGA IGKJ1_chr2:89162976-89163076 TGCTATCATAGACCAAAGACTAATACTGACTGCCACAACAGTAACTTTTACAACAGAAATCATAACTACA 120 ATTCTAAAGATTAGGGGTAGGTTTATTTGA IGKJ1_chr2:89163076-89163176 TTCTGTCACTGGCAGCTTTGCTAGTTGCCTTGAATAGCAGAATTAGCATTTGGTCTCACCAGAAGATGAGG 121 AAGGAGAGGGATCAAGTTAGAGGTGGAGA IGKJ1_chr2:89163176-89163276 GTTAACATTGGCAAGTGAAATTTAATGTGCAAAATAGCTGACCAAGGGCATAGTCCTTTTTTAAAGGGGA 122 CACAAAGTGATTTTCTCTGCAGACATACAC IGKJ1_chr2:89163276-89163376 GCAATACCAATCATAAAGGGTGACATTTATTGAGCACTTACTAAGTGCCAGACATTGTACATGGATCATC 123 ACATTTAATTATTCCCAAGACTCTATGAAC IGKJ1_chr2:89163306-89163406 TGAGCACTTACTAAGTGCCAGACATTGTACATGGATCATCACATTTAATTATTCCCAAGACTCTATGAACT 124 AGGAACTAATATTATCCCCTACTTTGTAG IGKJ1_chr2:89163406-89163506 GTGCAAAAACTTGAGGGCAGAGAGGTCAAGGAACTGGCTTATGGCAGTAAGTGGCAGAGCTGTGACCTA 125 AACTCAGATCCCATGTTTTTAACTGAACTAT IGKJ1_chr2:89163506-89163606 ATGCAGATTATACTCCAGGAGTAAAGTCACTCAACGGAAGCAACAAGCGTGACAGGGAATGCTGGGATG 126 GGGGAAGGTAAAAGGAACTCCTTAGACTGGG IGKJ1_chr2:89163606-89163706 ATAAGTGTGTACAGACGTATGTATAAGACTACACATGGAAATATTGTTTAAAGAGTGAAAAATAACTAAA 127 ATCCTCATTAATAGGAGTTTTGGTTAAACTG IGKJ1_chr2:89163706-89163806 TGCTAGAGCTTTACAATGTAGCACAAAGCAGACATTAAGGGGAAGACGTAGACTTCTATATAGTTACGTG 128 GAAGGTGTTTGTGAAAATGCAGGTCACTGA IGKJ1_chr2:89163806-89163906 AGAGTATGTGTGGTGAGATATCATGATCCCATCTACATTGAATATATATGTATATAAATACGGGCTGAAT 129 TTTAAAAGACATAAATTGTGCTTGGTAGTT IGKJ1_chr2:89163861-89163961 AAATACGGGCTGAATTTTAAAAGACATAAATTGTGCTTGGTAGTTATCTCCTGGGATTGCAGAGGAGGAA 130 CAATGACACTTTATGCCATCTCCTCCTACT IGKJ1_chr2:89163961-89164061 CTTCTGTATGGTGATGTGAATATATTCATTTTATAGTTTTTAGAAATAATAAAACTGTACTAATTTTGAAA 131 AACAGTAAACTCTGACATTGCCTATTAGC IGKJ1_chr2:89164061-89164161 ATTCTCGATATTCCTGTGCAATGCATAAACATAACTTTTTAAAAGATATGTACACACATGTGTGAGTTTTC 132 TTTGTCAAATACTTTTCTATAATCTTTAA IGKJ1_chr2:89164161-89164261 ATCAAGCATGCCAAAAAGGTAAAAGCTTTCCTGTTTCAGTGTAGGAGATAGTCGTCTGCAAAGGAAAGAG 133 ATGTAGGGGATAGAAACAGGAATGAAAAAG IGKJ1_chr2:89164261-89164361 ATGACTGAGCTGTTCGAGGGACTTATGTTCCTAAGTGAGCTAATTGGAAATCTAATATGAACAGTGCAAC 134 CGAATAACTATTGTAAAGCAGTATTTGTAA IGKJ1_chr2:89164361-89164461 ACAATAAAAGATGATTATCATAAGTACCATTGTTGCAAAAACTATTTTATTGATCACATGCAGTGGTGATC 135 TGTAGGAATGATTGTTGTGATGTTTGCTG IGKJ1_chr2:89164461-89164561 TAACATAAAATGAAACATGGGAAGTGGCTGAGATCTTTAGGATGTGTGTGGTTCATTTTTTGAAAGCAAA 136 TGTTGTCTCAGAAGCATCTGTGAGACTCTG IGKJ1_chr2:89164561-89164661 CCAGGATCCACCGTTCTACAAAATATCTGTGATGGACATTGATAAGATTGATCTGTTGAGGAAAGGCAAG 137 GTGTCAGTAAGATAGTCTGAGAGCTTCTTG IGKJ1_chr2:89164661-89164761 GATTTCATGTAAAAGAGTGCTGGAAATAGAATTTCTTGGGGAACATTCCAACTAACTCATCACTGAAGGT 138 GCTTTACATTGAACCCTCAGCAAAGTTAGA IGKJ1_chr2:89164761-89164861 TTATCAGAAAAAAAATATAAACTGCTCTGGAGGGGACAGGAAGGAAAGTCAGGGAGGGAGGGGGGCAA 139 GGAGAGAAAGAGCGAGAGAGAGGAGAGAAAGA IGKJ1_chr2:89164866-89164966 AGAGAGGAGAGAGAGAGCACAAGTACACACTTCAATGCACATCTATAAATCATCCTGAAAACTACTGAT 140 AATTATTTTAGCAATGTTCCTCAGATGTAA IGKJ1_chr2:89164966-89165066 CATTTCAAGAAATATCATTTTTGCTTTTTATTTGGCATAATTTACTAGCCAATTTAGGAAGTTCCCCTCACA 141 TCAGTAACATACAGTACATCACCCAGTA IGKJ1_chr2:89165066-89165166 TGTCAGAGGACACAATGGCATAAGTTTGCCTTTTGCAAGGTTTGAGGGATGGCCATTTCCCTACCTGACTC 142 AGGAAAGTCTGTAGCTGATATCCATCTTC IGKJ1_chr2:89165166-89165266 AAGTTTGTGGTTCTTTCTCTCTATATATATATTTGAGCTCAGCAGTCATGCTGGAGTCCAGAGTAGGTGAT 143 TCTTTCTGCTTTAGCTTGACTCCTCCTTA IGKJ1_chr2:89165191-89165291 TATATATTTGAGCTCAGCAGTCATGCTGGAGTCCAGAGTAGGTGATTCTTTCTGCTTTAGCTTGACTCCTC 144 CTTAAGATTGTAACTCTCTCAGTTTTACA IGKJ1_chr2:89165291-89165391 TTTTTTGTCAGACGTAAGCTGACATTCCACAAGGAGAGGAGGAAATTCTGTGGTTCACATCCAGTGGTGC 145 TTGGAACCTGATTGGTTGTCATTCTTCCAG IGKJ1_chr2:89165391-89165491 CTAGTTTGTCACGAGTGGATATCTGTCCTGGATTCCCAAGGATCAAGGCTGCCCCATTAGCCAGGAAGTA 146 GGGAGATAGAGGAGGTCACTTGAGAAAGAG IGKJ1_chr2:89165491-89165591 CTGCTTCTTTGCCGCCTCCAGGTTGTGTCTGTTTCCTCTCATATCTGAAGACAGATGTGCTGGCAGAAGCA 147 AAGTCCTTTGTCCGGCCACGTGCAAATGC IGKJ1_chr2:89165591-89165691 ATGGGACATAAATATGAACAGAGATTCTTGTCCCACTCTAGAAAATGTAGATGTTCATCTTGTTTCCAAG 148 GGGACAGTAAGGCTGCAGGTGTTTTTTGAC IGKV4-1_chr2:89184966-89185066 CTTTTGTACTCACTGGTTGTTTTTGCATAGGCCCCTCCAGGCCACGACCAGCTGTTTGGATTTTATAAACG 149 GGCCGTTTGCATTGTGAACTGAGCTACAA IGKV4-1_chr2:89185066-89185166 CAGGCAGGCAGGGGCAGCAAGATGGTGTTGCAGACCCAGGTCTTCATTTCTCTGTTGCTCTGGATCTCTG 150 GTGAGGAATTAAAAAGTGCCACAGTCTTTT IGKV4-1_chr2:89185166-89185266 CAGAGTAATATCTGTGTAGAAATAAAAAAAATTAAGATATAGTTGGAAATAATGACTATTTCCAATATGG 151 ATCCAATTATCTGCTGACTTATAATACTAC IGKV4-1_chr2:89185196-89185296 ATTAAGATATAGTTGGAAATAATGACTATTTCCAATATGGATCCAATTATCTGCTGACTTATAATACTACT 152 AGAAAGCAAATTTAAATGACATATTTCAA IGKV4-1_chr2:89185296-89185396 TTATATCTGAGACAGCGTGTATAAGTTTATGTATAATCATTGTCCATTACTGACTACAGGTGCCTACGGGG 153 ACATCGTGATGACCCAGTCTCCAGACTCC IGKV4-1_chr2:89185396-89185496 CTGGCTGTGTCTCTGGGCGAGAGGGCCACCATCAACTGCAAGTCCAGCCAGAGTGTTTTATACAGCTCCA 154 ACAATAAGAACTACTTAGCTTGGTACCAGC IGKV4-1_chr2:89185496-89185596 AGAAACCAGGACAGCCTCCTAAGCTGCTCATTTACTGGGCATCTACCCGGGAATCCGGGGTCCCTGACCG 155 ATTCAGTGGCAGCGGGTCTGGGACAGATTT IGKV4-1_chr2:89185596-89185696 CACTCTCACCATCAGCAGCCTGCAGGCTGAAGATGTGGCAGTTTATTACTGTCAGCAATATTATAGTACTC 156 CTCCCACAGTGCTTCAGCCTCGAACACAA IGKV4-1_chr2:89185696-89185796 ACCTCCTCCCCATACGCTGGGCCACTTAGGTCTTTGCTGCAGCAGCTGCTTCCTCTGCACACAGCCCCCAAC 157 ATGCATGCTTCCTCTGTGTGTTGGGGAGG IGKV5-2_chr2:89196226-89196326 AATACATGAAAACAACTACCGAAATGTTATGAAATTATAGTTTAGTAGAACTAACAAGTGCATTAATGCA 158 AAAGAAAAGTAGGGCTCAGTAATCAGGGAA IGKV5-2_chr2:89196326-89196426 CCAAGTGTGCATTGTAAAAGTGCAGCCTCTCTAACACTGGGTTTCATCACAAGTAACAGAACAGGATGCC 159 TGATGCAGGGAAAAAAGAAAGGCAATTGTT IGKV5-2_chr2:89196851-89196951 GATCTCTGGTAAGAGAAACACTTCCTCTCCTCTGTGCCACCAAGTCCCCTGCATATCCACAAAAATAATAT 160 ATTTTCATAAGGAATTGATTTTCCTCATT IGKV5-2_chr2:89196951-89197051 CTCTGCAAATATGATGCATTTGATTTATGTTTTTTACTTTGCTCCATAATCAGATACCAGGGCAGAAACGA 161 CACTCACGCAGTCTCCAGCATTCATGTCA IGKV5-2_chr2:89197051-89197151 GCGACTCCAGGAGACAAAGTCAACATCTCCTGCAAAGCCAGCCAAGACATTGATGATGATATGAACTGGT 162 ACCAACAGAAACCAGGAGAAGCTGCTATTT IGKV5-2_chr2:89197151-89197251 TCATTATTCAAGAAGCTACTACTCTCGTTCCTGGAATCCCACCTCGATTCAGTGGCAGCGGGTATGGAACA 163 GATTTTACCCTCACAATTAATAACATAGA IGKJ5-2_chr2:89197251-89197351 ATCTGAGGATGCTGCATATTACTTCTGTCTACAACATGATAATTTCCCTCTCACAGTGATACACCCTGTTA 164 CAAAAACCTCCAAGTTCTCTCAGTGGGAT IGKV5-2_chr2:89214836-89214936 GCCCTCTGTCCTGGAGACACGGCCAAGGAGGCTGGAGACTGGGTCAGCACAATGTCCCCATTGCAGCCTG 165 AAATGATAAAGACAGATAAATTATATCAGA IGKV5-2_chr2:89214936-89215036 TATACTGAGACTGTCCCCATGTAGGCCATGCATTGGTGACACTTGTAACCACAGTCATATGCAACATCTTG 166 AGTAACCAGAAAACAAAAGATAACTGGGG IGKV5-2_chr2:89215036-89215136 AACTTACAACCTACAATGAGTGCCCTAAATCCAACAACCAAGAATCCAGAGACACAAAAAACAATGATGC 167 CCACATGAGTTTGCCCGATGTTTCCCTATA IGKV1-5_chr2:89246681-89246781 TACCAACACCATCAGAGTGTGGCTGCATCTGAGGACCACTCTCAGCTGATAGAGGCATCAGGAGGAGCAG 168 CTGGGGCAGCCCTGCCTCACACATCTGCTT IGKV1-5_chr2:89246786-89246886 GGGGTTTATGTTCGGGTGTGTAACACTGTGGGAGAATAACTATTATACTGTTGGCAGTAATAAGTTGCAA 169 AATCATCAGGCTGCAGGCTGCTGATGGTGA IGKV1-5_chr2:89246911-89247011 GCCGCTGAACCTTGATGGGACCCCACTTTCTAAACTAGACGCCTTATAGATCAGGAGCTTAGGGGCTTTCC 170 CTGGTTTCTGCTGATACCAGGCCAACCAG IGKV1-5_chr2:89247011-89247111 CTACTAATACTCTGACTGGCCCGGCAAGTGATGGTGACTCTGTCTCCTACAGATGCAGACAGGGTGGAAG 171 GAGACTGGGTCATCTGGATGTCACATTTGG IGKV1-5_chr2:89247096-89247196 GGATGTCACATTTGGCACCTGAGATTGGAAATAGAAACACAAATATTCATACTATTGATCATATTATAGG 172 AAGACTTCCCTGAATAACCAGGCAGTACTG IGKV1-5_chr2:89247196-89247296 AGCACACTGGGCTGAGTAAATTCCTAGTGTTCTCCTTCCTTACCTGGGAGCCAGAGCAGCAGGAGCCCCA 173 GGAGCTGAGCGGGGACCCTCATGTCCATGC IGKV1-5_chr2:89247526-89247626 GGGACTATTTTATTATGAGAAACAATTTTTAGGTATTTTTTTGAGAATTTTAAATATTCCTCAGGAGCCGA 174 TAGAGTAATGTATTTCATTGGTGTATCAG IGKV1-5_chr2:89247626-89247726 GATTATTTAGGAGAATATTCTTGTTTGTAGGAAACACATAGTAAAATGTTAGATGGTAGGATTCTCAAGT 175 CTTCAAAAGACTCTCATAAGATTCCGGGTA IGKV1-5_chr2:89247641-89247741 TATTCTTGTTTGTAGGAAACACATAGTAAAATGTTAGATGGTAGGATTCTCAAGTCTTCAAAAGACTCTCA 176 TAAGATTCCGGGTAGGGAAGGGGGTAATT IGKV1-5_chr2:89247851-89247931 TGTAAGTATTAGGTAATGGTGTTATGCCTTTGTTCTTACTAGTATTAGATCAAGCAATTTATTACAGATAT 177 ACAAAGATGATACCGTGTTGTCTCCATGC IGKV1-5_chr2:89247931-89248031 ATGCAGCACTCACAGATCCACCACTATCAAGAACTGCAGGTCTCTTTAATACCCAGAGACTAAATGAGGT 178 GCACCTTATTCTTGTTTTGGGTACCTTCAT IGKV1-8_chr2:89291906-89292006 TTGGGTGTGTAACACTGTGGGAGGGTAACTATAATACTGTTGACAGTAATAAGTTGCAAAATCTTCAGAC 179 TGCAGGCAGCTGATGGTGAGAGTGAAATCT IGKV1-8_chr2:89292131-89292231 CTGACTCGCCCGACAAGTGATGGTGACTCTGTCTCCTGTAGATGCAGAGAATGAGGATGGAGACTGGGTC 180 ATCCGGATGGCACATCTGGCACCTGAGATT IGKV3-20_chr2:89442291-89442391 CTTTCCCCTGGAGACAAAGACAGGGTGCCTGGAGACTGCGTCAACACAATTTCTCCGGTGGTATCTGAGA 181 TTGGAAATAAAACAGAAAAGTCACCCATGT IGKV3-20_chr2:89442391-89442491 AATCTAAATCAAACCCATTGTCTTCCCAGAAGAGCCAGAATTATTGCTTTATATTGAGCTTTAATTATTGT 182 ATTGACTGAGCAGAGTTGCCAGGTAACAG IGKV3-20_chr2:89442491-89442591 GACTTGAGAGGGTTTTCACTGACATGCAAAACCATCCCATGTTCCCCTCACCTGGGAGCCAGAGTAGCAG 183 GAGGAAGAGAAGCTGCGCTGGGGTTTCCAT IGKV3-20_chr2:89442616-89442716 AGCTCTTCTCCAGAGCTCTGACCCAGGCATTGATATGGGCTCTGGACTGCAGGGCGGCTGGGAGGGACAT 184 GCAAAGCAGCTGGGGCGGGTGCTGGGCTTG IGKV3-20_chr2:89442716-89442816 CAGCTGCAGAGACAATCTGCCTCCCCTTTCTGCTCTCAGCAGCCCATGCCCAGGTGATCAGGCCAGAAAA 185 GGCCGTTGGCTCAGTCTGAGGGTAGAACTT IGKV3-20_chr2:89442816-89442916 CTCCCCTGCGGCCACAGAATTTAACCCCTGTGTCCTCTTGTCTCACCATCACCTAGATTGAGCCACAGAAT 186 GTTTGGTACAAGTCTGTTAGAAACAAAAT IGKV3-20_chr2:89442916-89443016 AGAACGCTGTGGTTTCATTTTTCTCTTTCTGCTCCAACTTGTGCCCAGTCAGCTCCCTAAATGCATGATGG 187 ATCAGGTTGAAAGGAAGAGTCTATTACAA IGKV3-20_chr2:89443016-89443116 CTTTATCTTCCGGATATACTTGTATTTACTTGTTAGTGATCTTTCCTGAGGGTCCAGAAGCTGTCTCATTCT 188 TTGCAGAAATTAAAAGAGTAACATTCAA IGKV3-20_chr2:89443116-89443216 TTAACCTCAGCACTGTGGGTGTGAGGACTTTCACAACTGCACAGATAAGTGAGACCTGGGCTCCAAATCC 189 TCAGGGTAGTGATACCATTTCCCTAAAGAC IGKV3-20_chr2:89443216-89443316 AGAAGATGGTTTTGTCCATGCAGGCAAAGAACTATTTCTTGGGTCATCCTCTAAACTATCCAGTCTTTTTA 190 TTCTGTATAGCTGGTATAGTTTACCCTTA IGKV2-30_chr2:89544656-89544756 GGCTATATATGTATTTGTTCATATTTCAAAAATACACAGTTTCAAAATGGAACTCAAGGGATCCAAGGCTC 191 AAAGGGGTCTCCAGAAGACCCCACACCAT IGKV2-30_chr2:89544756-89544856 CCCCTTTCTGTGTCAGTCTTCCCCAGAGCACAGATCCTTGTTTCTGCTTGAATCTTCCTCACTCTCACAGAT 192 CTGATCATCACATGCCCCACTCTGGAGG IGKV2-30_chr2:89544856-89544956 ACAACATGTGCATGTCCAATACAGGAAAGGAACACACATAGGAGTGTAGTGAGACCCCCAGAGATCACT 193 GTTGTTAGAGGCAGTGGGGCCCCAGAACTCA DUSP2_chr2:96810164-96810264 GGAGCAGCAGCGGGTGGAGACCCCATGGGCTGGCCGAGACAAGAGGACTCCTCAGCCAGTCCTCCTGAC 194 CTGAGACAGGTCTCAGGAATGTGCGGAGGAC DUSP2_chr2:96810264-96810364 ACACCGGGACATACATTTCCTTTCATGCTCCCAACATACACATGCAAACATACACAGACCCATACAGGCA 195 CGCGCGAGCAGCCATGCCCCACCCCCTCCC DUSP2_chr2:96810364-96810464 CCAACACACACACGTATAAAAGTGTGTGTATATGGGCAAACTGCTCGCATCCCCAAATGGCAGGCTCTTT 196 CCCTAGAGGCGCCCAGTCCGCGGCGGGGAG AFF3_chr2:100758483-100758583 AAGCTCACTCACTGGGGCCATTGACTGGGATCCAGTCTGTGGCCATGTCATGGTTTCTATTTTTGAGGTTA 197 TAGCTAATGAGCAACATGAGGTTAAGACA AFF3_chr2:100758583-100758683 CACTTTTCATAAGGCCCCAGCCAGCATCATAAATATGTGTGTGAGCATGTTCACACTCAGGTTATGTCTTC 198 TTTATGTGCACCCTCTACCACACACACAC DDX18_chr2:117951919-117952019 GCCAAGAACCACGACTCTCTAATTTTACTTCCCAGCAGGTATTCAGTGCATAATAGTTCCTACTTAGAAGT 199 ATCATATTTGCCCAAACACAAGGTGATAC DDX18_chr2:117952019-117952119 CCAAAATGAGGTAAGTTTCCTGTTTTCTCAGTGAGATCTTTTGTTGTTGTTGTTGTTGTTGTTGTTTTGTTG 200 TCGATGTTGTTGTTTTTGGTTTTGGTCT CXCR4_chr2:136874415-136874515 CCGGGTCGTCCAGCCCCGGCCCGCCGCGGCTGCCCACTACACCCACGCCAACCGCCCGCAAGCAGCGCTG 201 CAGGGGCTCCGCTGGGCGACACGCCAGGCT CXCR4_chr2:136874515-136874615 CTGTCCCACAGGGTGCTGGGGAGCGACTGGGCGGCTCCGCCGCGAGCGTCTTTGAATTGCGCGCCGCTGC 202 AGGAAACCAAAAACTCCCTAGCAAGAGGGT CXCR4_chr2:136874615-136874715 TTCAAAAGGTTTCTGGAAACCACCGACGGTTAAACATCACAACTGGACTCGGAGAGAGCCAAACGGTTTC 203 CCCACTTGCACCTGCCAGTCTTCGCGGCGG CXCR4_chr2:136874715-136874815 CGACCTGGCAGCCCAGGTGCGGTCTTAACCGCCCCCGCCCCTCACCCCGTACCCGCTCCTATCCCCGGAGC 204 GCAAATCTCAGGGCTGGCAGCTGCGCGGT CXCR4_chr2:136874920-136875020 GGAAGGTTTTCCCCCTCAAACCCAAAGCGCGCGGGCGGATCAACTCCTAGCTGCTGCCACCACTCGATCC 205 CCTCAGAGGATCGGCGCGGTGGGTCCACCC CXCR4_chr2:136875020-136875120 GCCTCTCCCGCCCTCTGCCTACTGTCCTGGGAGACTGGCACAGCTCCGTCGGCCGCACAGAGTTTAACAA 206 ACACGCACCCAGTGTCAAGAACAGTCACCA CXCR4_chr2:136875120-136875220 GGCGCTTAACCCCGAACTTTAAAGCGGGCGCAATCTCCTCCTGGGAACTCAGCCCAGGCACGCCGCCCTCC 207 GCCTCTAAATTCAGACAATGTAACTCGCTC CXCR4_chr2:136875220-136875320 CAAGACATCCCCGCTTCCCCAAGGAAGAGACCGGTGGTCTGAGTCCCGAGGCAGCGCGCACGCCTTCTCT 208 GCACTTGTGCACAGAATGTTCTTACGTTTG CXCR4_chr2:136875320-136875420 CAAACAGCGTGCAAGCCGCCGCGCGCGGCGGGACTCAAGGGGGAGACACATGCAGCCACTGGAACGCTC 209 TTTCCAGTCGTTTCTCCTCGACTCACAGAGA CXCR4_chr2:136875420-136875520 AAAAGATTCCAATCCTGCTCCCCCCCCACCCACCCGCACTATATAGGCATGGTCAAGAAAACTCCTTTCGG 210 TGACCCTTTTTTGGAGTACGGGTACCTCC CXCR4_chr2:136875520-136875620 AATGTCCTGCCCGCTTCTGCCCGCTCGGAGAGGGGCTGCGCTCTAAGTTCAAACGTTTGTACATTTATGAC 211 AAAGCAGGTTGAAACTGGACTTACACTGA CXCR4_chr2:136875620-136875720 TCCCCTCCATGGTAACCGCTGGTTCTCCAGATGCGGTGGCTACTGGAGCACTCAGGCCCTCGGCGTCACTT 212 TGCTACCTGCTGCCGCAGCCAACAAACTG RFTN1_chr3:16419204-16419304 CCCATTGCTGACATACTTACTCCCTGAGAGTGGCTCTTCATGCACCTCCAAGGGGTTGCTCTCCGGTCCAT 213 CCAGTGTCTTGCTCACCCCCTGTGGTGAA RFTN1_chr3:16419304-16419404 AGTTCTCCACCATCTCCCTCTCCGGAGGGTGAGCTGGGCTGCTTGGCGAGGGGCACCTCCCCTCTGGGGC 214 CTGAGCTGGGCTCTGGGCTTTGGTTTCTCC RFTN1_chr3:16419404-16419504 CAGCCGGAGCACTGCACACATCCCCAGTCCCCGGTTTCTCATTCTCCAGTGACGCGTGATOCCCACGTGCG 215 TTTTTTGCATCTCTGGCATCCTCGGTGCT EIF4E3_chr3:71551101-71551201 ATTTGCAGGTTATATCCTGGATGGTGGCACGACAGCGCCTGGAACACAGAAGGTTGGGAGGCGTGACGCT 216 CATCAGCAAGGCTCTTTTGGGGAGCCAGGA EIF4E3_chr3:71551201-71551301 AGAGTCCCCCAGAAGCCCACTTGGCACCCTATCTATAACAAGTTGCTCTTTAAGAATCATGGGAACTCCA 217 GAATCATTTTCACAAATACCTTCCACTCAT EIF4E3_chr3:71551301-71551101 GATTCAATTAAATGGCAGAAAACACAAACCTTCCGTTCCCACTGGCAAACTGGGTCTAGCTAACTGAGCA 218 CAGCTAGCACAAGGCAGGCCCCCTGCTAGC EIF4E3_chr3:71551401-71551501 AGGGCAAGTGGCGGCCCGGTCCCCAAGGCCCAGGGGAGCCTCTGCAGCTCCCTGGAAGGACGGTCAAGT 219 GAACAGAGAGCTGGCTGCCATCTGGGTTCTT KLHL6_chr3:183272308-183272408 ATGAGATCACCAGTTTATCGTAACTAGAGGCCTCTCCCATCTAAAGCATCTTTGTAACTGCTTTCCCTTTC 220 CCCACACTGCCTACACATAAAGAAGCCCC KLHL6_chr3:183272408-183272508 TAATTTGTAACAAGTCATTTGACAACTCCAGAAGAGGGGCCACATCCTTTTTCTCTATGTCTGTTGATTAA 221 CAAAGACAACATTATGTTTCCAACACCAG KLHL6_chr3:183272508-183272608 TCAGACCAAGGGGGAAAAAAGTCCCCATGACTTCAGTAATTTTCCATCCTTTGGAACAAGGAAATATACA 222 CAAAAGGTTTACTATAGAATGTAAGCATTG KLHL6_chr3:183273063-183273163 AACTGTTCAAGATTGGGCTCTCACACTAACACACCTCTFCCTTGCAACTTGCACCCAATTTGACTCTGGTC 223 CTAGGCATGCTGACCTGAAATAGTTGCTG KLHL6_chr3:183273163-183273263 GCTGCGGCAAGCACCACGCGGTGGCAGGAGAATTCCTGAATGTCCACACACAAGATGACATCTGTCAGAG 224 CGTTTTCCATTCGCAGGGTTTCCAGGCCAT KLHL6_chr3:183273263-183273363 TCTGAAGAATTAAGGAGAGTCCCGCGTCGTCAAATTTGACCTTTTCCCCATTTAAGATCTCGACCAAGTCT 225 CCTGTTTTCTGGGAGGGCTCATCTGTAGA KLHL6_chr3:183273363-183273463 AGGTGCCAGGGGCCCTTCCAAACTCTTCTCGACCACATCACCCATGGTCCAGGCGCCCCTTTGTCCTGCCA 226 TCAACATCGAGACTGAACGAGCGCCCAAG ST6GAL1_chr3:186714604-186714704 CCTTCCTGTTGGCCACTACATACGTGTCCCCCGCTTCTTGCCCCTCTCTGCTTGGGTCCCTGCTACACTGGT 227 ATCCTGCACTTTCCACCTTGTATTGCCA ST6GAL1_chr3:186714704- GTTTGTTTCCAAGGCCATCTCCACTTTGAGCTTGTTCATGACCACCTCACACAGCACACTTGGTCTGTGTG 228 186714804 GTGGTTTGAGGGGTTCTGTCTGTACACTG ST6GAL1_chr3:186714804- TGCTTTGGCTGTGTTGGAGGCGGGCAGGTGGGAAGGAAGAAATGTATTCTTGGGGAGATTTGTTTTTAGA 229 186714904 GACATGAGACATGGAAAATAGTTAAGTAAT ST6GAL1_chr3:186714904- AATATAATATGGGAGGCATGGACTATCAGAGGAGGCAGGCAGGACTGCCCAACCTCCTCACTGGGCACGT 230 186715004 TACGCTACTTCCTCCTGACCTCTATAGTCC ST6GAL1_chr3:186782529- CTATCATTGCCCTTTCTTACCTTGATATCCTAAAAAGCTGGTGGTCTGTCTTCTCTATCTTTTGTCCTGGTC 231 186782629 AGTTATCCTAACTATTTTGTGTCTGTTT ST6GAL1_chr3:186782629- CTGTGGATTAGTAAACGGGGTCCCCACCCCCACTCCACAAGGAGAACATCTGGCACCCAGAAGTCACTGA 232 186782729 GAGAATAGCTGTTGCTTTGGTAGAATTCTG ST6GAL1_chr3:186782729- CCTCTGAGTGGCTTGTTCTTTTCCCAGACGGAGAGGTCTCCTGACAGCAGCTCTCTTCTTTTTCTTTTTTTT 233 186782829 TTTTTTTGAGACAGAGTTTTGCTCTTGC ST6GAL1_chr3:186783389- CTCCTGTACCCTGTGGGCCTGAGAGAGGAGACAATGGGACAAGAAGACCCAGTGGCTTCCTTGGAAGCTT 234 186783489 TTGTGCTAGCTGGAGAGAGAAGACCTACTT ST6GAL1_chr3:186783489- CCTATATGCCTAGCAACAGTCCACACTGACTGGACTGCAACCAGGACATTTCCAGATTACTCAGTGGGGC 235 186783589 TTATCTTGAAATAATAGTTGATGCCATTTG ST6GAL1_chr3:186783589- TTAAATATATTATATATACCATCTAAGGGTCTTACATGCCTTCTCTCATTTGATCTTCATGGCAAACCCTGT 236 186783689 GAGGTATGACCACCAACCACCATTTTAC ST6GAL1_chr3:186783689- CTCAGAACTCAGGCTCCCAGAGTTTAAGTTGCTCACAGGAGCCCAGAAAGTAAGCGACAGAGGTGGGATT 237 186783789 TGGTTCTAGGTGTTTGCCACCAGCACTTTA ST6GAL1_chr3:186783789- AATCACCAAAGCTTTCTGGAAGCTCCAACTTTTCTTCTCAAGATACTGAAAGACAGGTATCTGGATGGGTT 238 186783889 GGCAGGGCGGGTGGGAGGTGGGCGAGATT ST6GAL1_chr3:186783889- TCCATCAACAACGGGTCTAAAACCAGCGATGGTGAGCTGGGTGATTTTGATGGAACCCCTGCCATACAGT 239 186783989 CTATTAATATCATAATTGGAGCTAAAATTT ST6GAL1_chr3:186783989- AATCATGATGGCAATCATGAGTTCTGGGGCTTCTTGATTTGGGCCAGCAGACACAGTCTCAGTCACTAGTT 240 186784089 CTCCGAATCAGAGAAAGGATGCCTTCAGG ST6GAL1_chr3:186784089- CTGTGTCTTCACATGGCTTTTCCTCTGTGCGTGGTGGAAAGAGAGAGCTCTGCGGGTCTCTTCTTGTTGTA 241 186784189 AGGACACTGGCCCCATTGGATTAGGGCCC ST6GAL1_chr3:186784189- CACCACATGACACATTTAATCCTAATTACCTCCCTCACAGCCCTATTTCCAAACAGGGTATTAGTCACATT 242 186784289 AGGGATTAGGGCTTCAACATAGGAATTCT ST6GAL1_chr3:186784289- GGGGGCACACAATTCAGTCTATAACAGAGGGAAAACAGATTTGAGAAGAAAAAAGTCCAAAATATGCAC 243 186784389 AGTGGTAATATCTGAAGATGTGCGTGCGTGC BCL6_chr3:187460134-187460234 TCAAGGGCTCAGCAAACGACAACTTAAGCATTTAGAGTCCCATCCCTATCCACCAAACCCAGAATAAGTT 244 AGTCTTTTCAAGAAAGCATTGGTATAAAAC BCL6_chr3:187460234-187460334 CCTTCAAAACTGAAAAGAAGAAAGGGGCAATTGGAGAATTCCCACTTTTTCTGGCTGTCTCCTTCAAGTC 245 GCCCAGTTTTTATGAACAGCATCTAGCCTT BCL6_chr3:187460334-187460434 ACTGTCACTATCAACAACGCITAAAACTAGCCAATGCTTCGGCCTCTAGTATTGGAAAGTCTTCCAAATAG 246 GATACTGGAAACTTCTATTTATAAGCTTG BCL6_chr3:187460434-187460534 GGGTGGCGGGCGGGGCGGGGAGGTGGAGAGAGAGTTGCCATCTACAGGTTTCTATTTTGGCCTGAAGAC 247 TCAACTGCAGTCATTAGAGTAAGGGAATGCC BCL6_chr3:187460824-187460924 TTATTTATTAAAACCACACACACCTTGCAAAGAAAAAGGGAAACTGGCAGTCTCTGTAGAGGAAGCCGGT 248 GGCATCGCTCAGAGCCACAAACTGTATTTC BCL6_chr3:187460924-187461024 TAAACAGCCCTTTCCCTGGTTCCCTCTCTCCTGCCCCACTTTTTTTAAAATCCAGACTGTAAAAAACACATC 249 TACTGACACTCACTTTACTTTAAAAAAA BCL6_chr3:187461024-187461124 GAAGAGAAAAAGTAAAGCGTTACAAGACTTTCCTCCTGGAAACTATAAACTGAAAAAAAAATCCATAAA 250 AGATTAAATCCTGGCGGGTTGTGGGGTGGCG BCL6_chr3:187461124-187461224 GGGGCCGGCGGGGAGGGGGCGCGGAGTGGAGATTGGCTCTCTGAGGTGGTCAGGGGCCCTGTGACAGCT 251 TGGGACTTTCAGCACCTGGTTTGGGGTCATT BCL6_chr3:187461224-187461324 TATCTGCTCAACTGTCAGGACCCCCCACCCCCAAACCCCAGCCACCAACACAACCATCGTAGAAGGGAAC 252 ACAACACAGAGGGTCTTTTTTCATTTTTTT BCL6_chr3:187461319-187461419 TTTTTAAAAAATCGGTTTGGTTGTGTTTTTGTTTTCCATGGGGGAGCTTTAAAACTCATTATTGCAACACT 253 AGTTCCATTTTTCGCCAGGGTTCCAATAA BCL6_chr3:187461454-187461554 CAAGACATTTACCACGGTCACTACATCCGGCAGCGGGGTGGCCCCTAGCTCCTGCTGCCCCCCCGCCCTTT 254 CTCCCCGCCCGCCCCCGGAGCTCAGCCGA BCL6_chr3:187461554-187461654 TTTCTGAGGCTCCAACTCTACCCACTCCCTCCCCGGGCCGCCGCCGCCGCGCCTTCCCCCATTCTTACTCCC 255 TCGAGCAGAGCCACAGGTTGCAAATCCA BCL6_chr3:187461651-187161751 ACCAACCTCGCAATCTATTTTTGCAAAATCACTCACAAAGATCTCCCTTTCGCGCCCGCGCCCGCTCCTCC 256 CGCGCCGGGTCCCCTCAGCCACGGCCACA BCL6_chr3:187461754-187461854 AAGTGCCCTTCTCTCCTCCTGAGTCTTGCACATAAGGAACGCGGGCTGGGGCTCTGTTCGTCTTTCTCCTC 257 GCCCAAGGTAAGGACCTCGGGAATCTGAA BCL6_chr3:187461854-187461954 GCCTGGCGTCCACTACGCTCAGGCCCGCAGTTCCCTTTTTACAGAGCTTGCACCATGGGAAAAAATAAAA 258 TAAAATTTAGGAAAGGGAGGCAACAGCCAT BCL6_chr3:187461924-187462024 TAAAATTTAGGAAAGGGAGGCAACAGCCATTGGGAGCCAACACAGAGTCACGCAGCGCCCAAAATACAA 259 ACACCGCAGCGGCCAGAAATCCCGCCACCTT BCL6_chr3:187462024-187462124 TCTCGTTCTCCCAGGCTGTCCTGTCGAGGTTCCCTGAGTCCCCCCGCACACTGAAAGGCATCGCAGGTGCA 260 GTGCGCACCCCTTTCCCACCCACCCCAAG BCL6_chr3:187462124-187462224 AAGCCCTGTCCCGCCATCAGTCTCTCTCCTCGGGATGAGCAGGGAGAGCGCGCGGAGGTTCCCGACTCCC 261 TCGACTACAACCAAGAAAGAATAATTTTCA BCL6_chr3:187462224-187462324 AAGTGTTCAACATCCCCGCCCCCAAGCTCCCCAAAACACAGGGGCAGGGAACACCAAAACACTCGGCTCT 262 CATTAGGAAGATCACGGCTCTGAAAGGAAA BCL6_chr3:187462324-187462424 TAGTAGACACGATACTTCATCTCATCTGGATTTATGACCAAAAAAACAAAAACAAAAACCCAAAGAGTTC 263 GCTTGCATTTTTTCCTTCCAAATCTCGGTT BCL6_chr3:187462374-187462474 AACAAAAACCCAAAGAGTTCGCTTGCATTTTTTCCTTCCAAATCTCGGTTCGGCTCGAAGGCAGGGAATCT 264 AAAAGACCGAGGCCGATGGAAGAGAGCCA BCL6_chr3:187462474-187462574 GCGGGGCGAGCGAGCGGGCAGCCTCCCTTTTTGCCTGCCGGAGTTACCCAGAAGGACAGGGGAAGGGAA 265 GGAAGAAGAGGCGAGGAAAAAGAGGAGGGAG BCL6_chr3:187462574-187462674 GGAAGCGGAGGCCAGGAGCGACGGAGCAAGGAAAGCAGTTTGCAAGCGAGAAAAGAGGGAAAAAACAC 266 AGCCGCACGAATCCAGAGAGATCACAAGCCGT BCL6_chr3:187462674-187462774 ACGCAAGCAGCAGCAGAAAGAGCGAGAGCGCGAGCGCGCGTCCTCTCCGCGGTCTGGGGCCAGACAGCC 267 CCCAGACTAGCCCGAATCACCCCCCAAGCAC BCL6_chr3:187462774-187462874 TGTCTCGTCCTCTCTGCTCCGGCCGCCCCCTAATTCCCCTCCTTCCTCTCCTCCACCTCCTTTCCAAAAACC 268 AAAACAACACAAGGGAGGGTGGCAAAAG BCL6_chr3:187462874-187462974 CCTCCCCAAACCGGCCGATTCACTCAAAGACAACAATAATAATAATAAATACATAACAATCTATATCCTA 269 TGGTGGGAGAGACGTGGGACTAATCTTCGG BCL6_chr3:187462924-187463024 ACATAACAATCTATATCCTATGGTGGGAGAGACGTGGGACTAATCTTCGGCATTTATTTTAACACCTGACA 270 GCTAGAATAAATAAATATATACATTTATA BCL6_chr3:187463004-187463104 AATAAATATATACATTTATATCAATAGATACACATAGAAAACTTGGAGCCAAAGCATTTGGCAAGAGCGG 271 AAAAAAAAAGAATTAAAAGGTAAAATAATG BCL6_chr3:187463104-187463204 ATCATGAGCAGCGGCGGCGGCAGCGGCACCAGCGGCAACAGCGGCGGCGGCGGCAGTAGCAGCAGCAGC 272 GGCGGCAGCAACAGCAATAATCACCTGGTGT BCL6_chr3:187463204-187463304 CCGGCCTTTCCTAGAAACTTCTTGCATCACCACTTCTAAGAACCCCAGTTCTAAGAATCAACAGAGCTCAA 273 TTCTCGGAATTTGAGCTTCGGACTTTACC BCL6_chr3:187463304-187463404 ACTGCTACGTGGCAGGGGAGGACTTGGTGTCAGCTCTCCGAGATTTTTACTGCCCCTGGCCAACCAAAAG 274 CCCTCAAAGCCACAAGATTTTTTCACTGGC BCL6_chr3:187163101-187163501 CGGCATATTTCGAGGTCCTCATAAGCAGAGCGTCTCGGATTTGGAGGTTCCGGTTCGAGGCTCGAGGGGC 275 CTGAAGGTGGCTCTCCCTCCCCGGGCCCAA BCL6_chr3:187463504-187463604 GACGATGGTATGGCCTGCTCCGCCACCATCACGTGGGCTCCTCCTCTGTGACGTCGGCGCCTTCGCTGTAG 276 CAAAGCTCGGCCTCTGGAATTCTGAGAAC BCL6_chr3:187463709-187463809 GCACAAAAGGGAGCGAGAGGTTTGAACCACTGGGAAAAGTATGTTATATATATAGTAGGGTTAGAGAGG 277 CGACTAAGAGAAAAATAAAATAAAATAAACA BCL6_chr3:187463794-187463894 AAAATAAAATAAACATCACAGCTCTTTCCAACTAGAATATTAGGCACCACGAGAAAAATATTTGCCAAGC 278 AGTTTTCGGTGGGTTCATTTGCTTTATTTT BCL6_chr3:187463894-187463994 TATTTAGGACAGGGGTTTTTGCTGTTGTTCTGGGTTTTTTTCTTTCTGGTGTGGTGGCTTGGGATTTTTGGT 279 TTCTGTATTTTGATGGTTTATGGATTTT BCL6_chr3:187463994-187464094 TGCTTCTGATTTTTTGCCTTTTGCAAGTTTGTGGTGTTACGTAAATCACAGGATCGGCATCGGTTGGATTT 280 TTTTGTACGTGCCTTTTCTTTCCCTATCT BCL6_chr3:187464094-187464194 AATCCCTCAAGCGTTTTAAAGATGTATTATTTCAATACTAATACTATTGAAAGAAGCTTAAATTTTTGGCC 281 ATATGTAACAATCCCAGCCCCCACTTTTT BCL6_chr3:187619334-187619434 ATTATCATCATCACCACCAACATCCTCTGCCCTGGAGACCAAGAGAATTCAAACAGGTCAGCACCTCTAA 282 TTGCTGTATAGAACATTGACCCTACTGTCT BCL6_chr3:187619434-187619534 CCCAGTTCCTGAGGATGGTGTGATAATAATACATCTCAGAGTTCTGTAGTTTCTTCACCACTGTGCAGGTG 283 TGGTTGGTGGGAGCAATGCCCTGGATGGA BCL6_chr3:187619534-187619634 TAAGCCAAGCTCTTGTGTCCTGGCAGATAAACAAGGTGAACCCTCAATCCGTGTAGCAGGAGTTTCCAGA 284 CAAACTCACTTTGCATGGAAGGACACTAAC BCL6_chr3:187619634-187619734 CCTTCCAGGTGCATGGAAATATTTTGTAGTTTTTACTGTCTCCCCCTTCCTCCACTGCCTCATCTTTTTTGT 285 TTTTTCCCCTGTGAGACTATTTGCTCTG BCL6_chr3:187660817-187660917 CCTTTCCAACACTGGCCTGCCTTAGGGACTCACCGTCTGCACTCCGCCTGCACAGGTGGAAAGAGTTCAG 286 ATGAGGGAGAATTGCTTTCCATTGTTCAG BCL6_chr3:187660917-187661017 TAGGCTTTTTGTAATTTCTAGTTTTGCTTACCTTTCCTACTCACCACACACACAAAACAGTGTGAGCTTTCT 287 CATTCTAGTGCATAAACACAGGTCGGTC BCL6_chr3:187661017-187661117 AATACCCACAAGTGTTCCAAAAGGTGAGCTGGCATTGCTGCCCAACTGGGCATTATAGTCCCTTCTGTCCC 288 TGCCCATCAGGCTTGCCTTCCTCGGCAAC BCL6_chr3:187661117-187661217 CTTTCTAGCTTGAATTGTACTGTGACTCCTTCTCACGGACCACTCCCGGAGACTGGTGAAAGTTGGGCCCA 289 TTCTTGAAGCCTCTGCTTCTAAATCATGT BCL6_chr3:187661217-187661317 TTTCCATAAAGTCTCCCTCATCGTGCTTGCTTCCACCTTCTCCTATTTGGAATTACTGGTGGGCTCTTCCAC 290 TGTCCCATAGCAAGTGTTCTATACATTC BCL6_chr3:187661317-187661417 TGAAGGCACATTTGAATATATACTTTGTCATGGTTGCTTGGAACCATGTCGTCTTTTCCAAGTAGGCTGTG 291 AACATTCAGTGGCATGGATCATACCGTGC AC022498.1_chr3:187957432-187957532 CCCATTGTTCAAAGAAAGGCATTATGGAGTCTCCAAAAGCCATTGGCAGGTGGTGTCTGTGACTTCCTTA 292 GCCTGGAAATAAACAAATAAACAAGCACAA AC022498.1_chr3:187957512-187957612 AAACAAATAAACAAGCACAAATTAGAAGTCTTTGCCCTATTACTGCACTATTAGTATTGATTGCGCAACA 293 TCATGCAAAAAGTCACTTTAATTTATCTGG AC022498.1_chr3:187957612-187957712 CAGGTCCTATGTAAACACCAATACAGTCAAGAGGGCTTGGATGGGTATTTCCTTTCATTTCTAATGAAATT 294 TCAGGCCTCTAGGGTAGGATATCAAAATT AC022498.1_chr3:187957712-187957812 GGTAGATCATTTGCAATTTATTTTATCCCAAACACCTCACTTTACAGTCAGAGAAACTGAGGCCCAGAGA 295 AGTAAAATGAGTTGCTCAAGGTCTCAGAGA AC022498.1_chr3:187957767-187957867 ACTGAGGCCCAGAGAAGTAAAATGAGTTGCTCAAGGTCTCAGAGAGCAAGAAATAGAGATGGGACTTGA 296 GCACCTAGATCTCTGGTATTGCTGTCCTGTA AC022498.1_chr3:187957867-187957967 GTTCATGGAGCTGGCAGATGGATACATCTGTGACCTGGGATGATGGAGAGACTGCTGGACCCTTCAGAGG 297 ATCTCATCTCAAGGTGGGGTTTATGTGTAA AC022498.1_chr3:187957967-187958067 ATGATATCTGTGTGTTTCATTTTCCTTTCATAAACTAATTTAAAAATCCTTTTGGTATCAAATTTTAAGCCA 298 AAAAGTAGTGAGGGGGAACATGGGTAGG AC022498.1_chr3:187958067-187958167 AATAGCTTACAGCTTGCCTAACAAGGTTGTTGACTGCATAAGAGTCAGGAGTTTTGGGTAAGAGTGTGTG 299 TGTGTGTGTGTGTGTGTGTGTGTGTGTGAG AC022498.1_chr3:187958282-187958382 CGTACTGAATTTGACTGCTTTATTTTGTAGGGAAGGAAACTGATGTGCCTAGAGTAGTTGAGAGCTTTATT 300 CAAACTCATTCCACTGTTATTGAGTAGTT AC022498.1_chr3:187958382-187958482 AGGATATTAGACCAGCAACATATTTGGGTAGAAACTTTCATATAAAAAAGCGTAATCATAACTATCCAAT 301 CATGTCAACTAGTAAGGCTTGCTCAGGTGGG AC022498.1_chr3:187958482-187958582 ATAACACATCAACCTTCTTTGGGATTCTTCCCTCAGACATGGTTTTGGTGGGAGGAGCATGGCAAGGGAG 302 GGGCGAGCTCCAAATGCAGGGCTGCTCTGT AC022498.1_chr3:187958582-187958682 CCTCGGCGACCTGAGCAGACACACGAGCAGAGATCAGAGACACTCTTAGTGAATGAACCTCCCTATTGGC 303 TATATTAAAGTAATGCTCTGAAAAAGTTCC AC022498.1_chr3:187958787-187958887 TATGTATGCATAGTCTAAAGTGATGATTTTAGAGGTAGCAAGACAGTGAGAATGTCCCTACATGTGAAAT 304 GGGCACAGTTTTATCAGGGAACTGTCAATA AC022498.1_chr3:187958887-187958987 GAGGGTTAATGTTCCACGTAGTGGCTGCAAGAATGATAAGTGGTCATGGGGATAGCCTGACACTCTAGGA 305 GCAGAAGGTGGTGGGTATGGATAGAACTAC AC022498.1_chr3:187958987-187959087 TGATATAGCATGAATCCAACCTGCTGTTATCTGCGCAGGCCTCTCTGCAGCTGTTTGCCCTGAAGTACATG 306 CTGTACGTTTCTCCAGCTGATCCTGCATG AC022498.1_chr3:187959087-187959187 ACTGGGTATAAACGCCTGTCCGCTGTGTGCTGGACAGCCCCAGACACCCTCGGCAGCCTGCTGTGTTTGT 307 GTGAGACATGCTGTGTTAGGGATTTAAGCA AC022498.1_chr3:187959402-187959562 ACAGCTTTCTCATCTACATGGACAACCTATTTTTAAAGAATCTTCAGAGAGTCGTTGACTTTGTTATAACT 308 ACTACTATATACGTAATTTCAGATGATAG AC022498.1_chr3:187959562-187959662 AATTGAAAATTTAACTTGTTTTTCTAGAAAGAGTTTATTTTCCCTATAACTTCAAAGAGTAATGGTGGGGA 309 GTAGGACATTCTGAAAATAAGAAGAAACA AC022498.1_chr3:187959662-187959762 TGTCAAATGAATTTCTGACTTCCAGCTAGGCATATGGAATAAAGGTCTTTATTCCAGTGACCTCTGCTCAT 310 TGGAAAACTTTGGGCTGGTAGATTTCATG LPP_chr3:188299217-188299317 TCTCTTGCATTCTTAACTTGCAATTTAGTACTGTTTATATTCTGCTTGAAGGTTAGAGACATTCGACTAAA 311 TGGTCTTTTCTCCACATTGCTGTCATTCA LPP_chr3:188299317-188299417 TTAATGTCCTGGTCCTGGACTTTACTCATTGACCACAGGACAAGTGGCTCAACTCTCTCCTGCCACTACCC 312 AGGCTGTTAGTCCTGTTGGGAGGCTCAGG Lpp_chr3:188299117-188299517 GCCCAACTCACTCATCTGTAACTCTCATCTCCATTGAGCTGCAGCCTCTACAGCCCCTGGTTATACCCTGG 313 ATCTTATCATTGCTTCGCTCTATTTTACC LPP_chr3:188299517-188299617 TCCTAAATCGTAAAAATTAAAACCAGCCTCGGAACACAACCCCTCATTCTTCCAGCACTCTCTCTCATTCA 314 GGTAACTCCTATTCTACTTTTCTTCAGCA LPP_chr3:188471412-188471512 TTGTTTTTTTTTACTTTACCTTAATTTCTCTTTTTGGACTAAGATGTTAAAATGTTTCTTAATGTGACTGTCT 315 CCGAAACTGTTTTCTGTCTACCACTCA LPP_chr3:188471512-188471612 TCCTAGTGGCAGTCATTGATCCTTTTCTTGTTGCGAGTGTTTGAGTGTGGGTGTGTGTGAGTGTGTATATG 316 TATTTGTAGAGGGAAAAACAAGAGAGAGG LPP_chr3:188471567-188471667 TGTGAGTGTGTATATGTATTTGTAGAGGGAAAAACAAGAGAGAGGGAAACAGACATTGGAGCCACCTTTC 317 CCCCACTAGCCACGTACCTGTTGAACCTTC LPP_chr3:188471667-188471767 AAGCCTCTCTATAGAATCAGATATACACAAGCACAGTGACAGAACTACATGTGTCCTACAGTCCAGCTTT 318 TAAGATATGATAAAAACTCTTGTATTCACA LPP_chr3:188471767-188471867 GAGCTAAATGGCAATAACCATAGGAGATTGCATATTGCTACATTATGTAAAGACAGAGTCCCAAGAAAAT 319 AGTGAGAACTCAGTTTGATGTATGATGTGA LPP_chr3:188471867-188471967 TATGTGATATCTTACTTTACATGGCTAACAGTTGACATTCTTTGTGGATTCTATATTGTCTAAGGCTACAG 320 AAGAGCCATATGATAAATTCATCGGCAAC N4BP2_chr4:40198810-40198910 CAGTGAAAAGGCTTGGGCCGCTTTTGTTTTCACCTGCTTTTGTTGAACAAATTTGATTTCCGGAGTCAGTC 321 ATTTTACTGTCAAGACATTTCTTCGGCAT N4BP2_chr4:40198910-40199010 TCTGCAACAGGTAAGGATTTTGCTTCCTTAAAAGTATTTCTTTGGTGTCAAAAGAAATTTTTCTAATTTTA 322 TTTAGCTTTTACTCTAGGCCAAACATCGT N4BP2_chr4:40199010-40199110 AATGACTCTGAGCTACCTGCTGTAAGGTGTAGAATCAATTTACAGGGGGACGGGGGTCGGGGGGGTGAG 323 TGTTGCTTTGATATTCACTGCCCCTCACCAC N4BP2_chr4:40199110-40199210 AGTCCTAACAAGATTTTTGAAACATGAAAAGTTACAATAGTTGGCTTTTTGGTTTTCCAGATATTCTAGAG 324 AATGCATATGCTTGTGACTGTGGCTGAGC N4BP2_chr4:40199210-40199310 TCAACTGTATGGGTAGTTTAAATACTACCCAAGGTTTGATGAAGTAAATCTAAAGATGCTCTAAGTTGTG 325 CAAATATGAATTTTAAAGTTGTCTAGTTCA N4BP2_chr4:40199310-40199410 GAAAAGAAACAGAACCGAAGTCTAAATGATGTAGATTTCAATCTGGAATTTCTAGCTTGTGTTTTTCACCT 326 ATTGCCAATGTTAATGACCATTTCCCAAA N4BP2_chr4:40199410-40199510 AGTGCTCTATGATGTATAACATGTATTTTTTAATTAAATTTAATCTTTCTTCTGAGGTGCTTTTGATTTGGAG 327 ATATGCTACGAGGTACCAGTCAGTAGCC N4BP2_chr4:40199510-40199610 TGAGTTGTAACTAAACAAAGTTTGGGAAATCACCGGTTTTAGGTGCTTTACTAAATGAAAGTTGCCATTG 328 ACGTATTCAAGCAGGCAACAAGTAGTTGGT N4BP2_chr4:40199610-40199710 GTCCCCTTATTGGTTCTAAGCTGGTGCCGTGGAGGATATAAGAGAAATATTTTAAAAATCTCTACTTTGAA 329 GGACCCTATAATCTGGTAGTTGTGATAAG N4BP2_chr4:40199660-40199760 TTTAAAAATCTCTACTTTGAAGGACCCTATAATCTGGTAGTTGTGATAAGAAGTAAAATTTAGGAGCAA 330 TGCAAGATGAGAATTCAGTGATGAGTGGGG N4BP2_chr4:40199760-40199860 CAGCACAGGCTTGAAGAGTTCTGTGAATTCCATGGAGGGGGCCTGGGGGCAAACTGGAGTTGTCAGGAA 331 GATCTGGGCTTTGGAAGAATGCGAAGTGTCG N4BP2_chr4:10199860-10199960 GTAGAAGGAGAAGGGGCAGGTGATTTCAGACTGGGAGGACCTTGTGGGCAAAGGCACAAAGGCGAGACT 332 GACCTGGAGATGATAAGGCCAGTTGAAGAGA N4BP2_chr4:40199990-40200090 ACATTGCAGGAAATCAGATTAGACAGTTAGGGTGTGGACACAAAAGCGAGGACCTTGCAGGCACTGGGG 333 AGAAGTGACCCCATTCAATAGTCCTTGGTCT N4BP2_chr4:40200090-40200190 CCTTCTGCCCTGCGGCTGCGCTTCCTCGGCTCTCACGGCACCAGCAGAATTCCATGTGAGAGGGAGCTTGT 334 CGAGCGTGGCCTCTTCCCACTTGGGGCTG N4BP2_chr4:40200190-40200290 CTTTCTGCATCCCTGTGCCTGGCTGTGGGCCTCCATTTGCCCTCTACTGTCTTCCCTTAGGACATCATTTAT 335 GCAGAGAAAGGTTCGTGTGGCTCGGGGT RHOH_chr4:40200505-40200605 GGACGTTGTTTAGAGAGTCAGTAGATCATAATAATTCAGACACTTTTTTTCTGGACCATAAAATATCTGAA 336 CCCATATAATAACAAACATACAGCACGGT RHOH_chr4:40200605-40200705 GAATAAGAACCCAACTTTTGAGCCAGATCACTTTGCATGGAATCCCCATTCTATCATTCTATCATTTCTGG 337 GCTGTGGGAACCTCAGACAAGTTACTTAA RHOH_chr4:40200705-40200805 CTTCTTCAATGCTCAGATTAAAAAAAAAATTCACAAAATATCTCTAATAACAGTAATAATAACTGAAAAT 338 ACCTACCTCAGAGGGTTGTCGTAGAGATCA RHOH_chr4:40200730-40200830 AAAATTCACAAAATATCTCTAATAACAGTAATAATAACTGAAAATACCTACCTCAGAGGGTTGTCGTAGA 339 GATCAAATGAGATAAAAATATGTAAAGCAT RHOH_chr4:40200830-40200930 GTAGCCTAGTGCCTGCTGAAAAAAAAATCTCTCAATAGATGCAACTCTTATGATTCTTATTAAGGACTTG 340 GCTATTGCCACAAATGAAGGTGTTATGAG RHOH_chr4:40200930-40201030 CCCTGGCTTAAGAGCAAGAAGCCTGCAAAGCTAACTCTCCTAATCCCAACAHCCTTTCCAGGGAAAGTA 341 GGGTGACAGGTGGAGGCTGGGAATTAACGT RHOH_chr4:40201030-40201130 TTTTTGAGCACCAAATATGGACAAGGCACAGGGGTTGGGTGTTTTTCTAGTGAGAATACATATGAAAGAA 342 GGAAAACAAACTTGGAAACCGCTATTTTAA RHOH_chr4:40201130-40201230 GCCATTTGGTAACAGTTTCTCTAGCTTATGAGATGAGAGAGGTCCTCTCAGTATCCGCTGCATTACTTGTG 343 GGCCTCCTTGGTTGACGTCGCTCTCTGAA RHOH_chr4:40201230-40201330 CGCTTGGGGTGGAATTCTAGAGGTGCTTTTCATTAGAGGCAGAGAGCATGACCTTTCTTCCTTGCCCAGTT 344 TAAATTAAATTATTTTATCTTACAATGTG RHOH_chr4:40201330-40201430 TTAATTTTAGTGCTAGCAAGGCACAGCTAAAATTCCATTTCTACTTAGGAGTGGGGATCATTGTGGCAGT 345 GAGTGCTTATTTGGGTTTGGGATGCTTGGA RHOH_chr4:40201430-40201530 TCTGGGTGAAAGCCAGGATTAAAAAGCATCCTCCTTCCCCATTCCACTCTCTAGGTTATAAATATTTTTTT 346 GGATTAAAAGCCTCCTTTAAAAAAATGCA RHOH_chr4:40201530-40201630 AATCCAGCGGCATGTTAATTGTGCAGGGGATTCCTAATTATGTGTGCAGATGACGTGAGTCACACGGTG 347 ATAGTGTTCCTTCTAGAGTGCACTGGTGT PABPC4L_chr4:134727698-134727798 ACTACGCGTTCATCCTGTGTAATTTGAAAATATGTCACACGTGGTGATGAGAATCTATTTGAGGAACATG 348 GGCAGTTTGAAATAATATATGCAATGTATG PABPC4L_chr4:134727798-134727898 ACTAGTTTATATAATGAAAGGAAGTATTTAAAAAGATAGAATGACATAGACTAATCTAATTGAGAAATAT 349 GAAAGTCTAACAGAAATGATTGCTTGTGAA PABPC4L_chr4:134727898-134727998 ATTTTATGAAGAAATCCACAGATAAATTCTCCACCTTGATCTATGTAATCCGAAATTTAGATGTTAAAAAT 350 ATGTTGATTCTGAAAATTTATATTTATTC SLC38A9_chr5:54964698-54964798 TTTGGTATGAATAGGTCAAAACAAGTCACCATTAACTGACAGGAAGCACAGAATTCTCAATTTAGTTTTG 351 GCAAAGACATTATTTTATAAATATGAGTTT SLC38A9_chr5:54964798-54964898 TTAAATGATTCTTATGAAGAAACTAGCACCAAAGTGAATGCACTCTGCAAATAACTCCCAGCTTCTCTGA 352 ATTTCAAAAGCAGCCACTAAATATTATTAG SLC38A9_chr5:54964898-54964998 CAAATCAATTTAGCTGAAAGCGATGAATTACAGAAGTAAATCTTTAGGTACAAAGTAGACAGCTGACACA 353 CATGTACCATATACACACTAGTGATCTGCC ZNF608_chr5:124079827-124079927 TTCCTTCTTTACCAACATAGAGTTTCCCATGAGCCCTGAATCCGGGGCACTTTTGCTAACTTCCCCTGCAG 354 CGGCGACGCTCTCCACTCCCAGTGCCCCCG ZNF608_chr5:124079927-124080027 CAGTGCAAGGGGCTCGCGCCACCTCCATTGCTCTTGGCCCCAAAGCCATAGAGGTGCCCCCCGGAAGGGG 355 CCTGGCTGCCACTGCCATTCTGGTGGCCCT ZNF608_chr5:124080027-124080127 GAAGCAGGTCGTGCTTGTCCTTCCTGGATTTCCCCGCAGCCTTATCCCGCTTGGCGCCTCGGCTGCTCTGG 356 CTTTTACCTGGCTTCTCCTCTTTGCTTTT ZNF608_chr5:124080127-124080227 CCCACAGGAGCCTGCCCCCGCGGTGGCGGCAGAGGTGCTGGTGCTGGTACTATTGCTGTTTGGGTTGCCG 357 CTGCCGCCGCTGCTCACACTTTGACCCAGC ZNF608_chr5:124080227-124080327 GCTGAATTCATGCCAGTTGCCTCTCCAGGGCGCCCTTGGACTTCCTGCCTCTTGCCAGTGCTGCTGATCTC 358 GGGAATCCCATACAAGGCAGCAGAAGGCA ZNF608_chr5:124080327-124080427 GAGAGTGAGTAGCATCCTTAGAAGGGGTACTCCTTTTCACTGGGGATTTGCTGGTCTCTTTGTGTGAATTCC 359 CCTGGGGAGCAGAGGCCTGAACAGAAGC ZNF608_chr5:124080427-124080527 AAATGGTAGGCCATCAGCTAAGGCTGCGGTAGCACCAGCCCCACTGGAGGCCGGACCTCCACAATCCTTG 360 GAGTTGCTGCTACTAGTGGTGGTGGTGGAA ZNF608_chr5:124080527-124080627 TTATTCATCTCAAATTTCTGTCTGTCCTTCTCCAAATCAGCGTCCAAATCAATTATTAAATTTCCAACCCCG 361 ATTTCCCAATCATCGCCACTGTCATAAG ZNF608_chr5:124080627-124080727 TATCAACTGTATTTGGATCCACACCTTTTTCCTGCAGTAGAAATGTTCACTGACATCCTGAAGATGAGCTCT 362 CTAGAATAAAAATCCGATGAACTTTTCTT EBF1_chr5:158527642-158527742 TTCCTCAGGAATTTGAGCTGGGGATCTGCATCCTGGCCATTGCAGTCCTTTAGCATCCTCGCCGCGCCCTG 363 AGCGCGCTGGAGGCTCGCAGGCTGCGCCC EBF1_chr5:158527742-158527842 TCCCAGGGCTGATGCCGCGTCCTGCTCCGCCGTTCTGGGACGTCGGGGACAAAAGTGGAGGAGACGGGA 364 GAGCCCGGGCAGAAAAAGCAGGACGCGCGTC EBF1_chr5:158527842-158527942 CCAGGTGCCCACCTCTTCGCTTTGAGGCGGGGGCGGTGGGATGGAATATGGGTGCGCGAGGTCGGGGCTG 365 GTAACTCTCGGAGGGGCACGGCCTCCACGC EBF1_chr5:158527942-158528042 TGGGAGGGATGAATGGACGCTGGGCCCCGGCAAATGAGGCGCTGTGGGTCCCCAGGAAGTGGGGTACCA 366 GGCTCTACTCCCACCCCGGCCTCTGAAACGC IRF4_chr6:392760-392860 GGCCAGGAGGGGTGGCGGCTGGGTGGGGAGAGAGGGTGCAAGACGAGCGGCGCGTGTCGGGAGCCTTTG 367 GGCTGCGGGTGCGTTACAGGAGAGCAGGCGG IRF4_chr6:392860-392960 GTAGGAGCCTTCGCGGGGGCCGAGCTCGGAAGGCGGACGGCTGTGCCCGCCCAGGGGATGCGCCCGGGC 368 CGGCCGCGAAGGTGCCTTCTTCCGGGGGCCC IRF4_chr6:392960-393060 GGACGACCCTGACACGGCACGCGCGCGCTTCGCAGCCTCAAAGACTCCGGGGCCTCGTGGTCACTGGCGC 369 AGGGGATCGGGGCGGGGTGCCCGGAGTGCG IRF4_chr6:393090-393190 CCCGCAGTGCAGAGCAGAGCGGGCGGAGGACCCCGGGCGCGGGCGCGGACGGCACGCGGGGCATGAACC 370 TGGAGGGCGGCGGCCGAGGCGGAGAGTTCGG IRF4_chr6:393190-393290 CATGAGCGCGGTGAGCTGCGGCAACGGGAAGCTCCGCCAGTGGCTGATCGACCAGATCGACAGCGGCAA 371 GTACCCCGGGCTGGTGTGGGAGAACGAGGAG IRF4_chr6:393290-393390 AAGAGCATCTTCCGCATCCCCTGGAAGCACGCGGGCAAGCAGGACTACAACCGCGAGGAGGACGCCGCG 372 CTCTTCAAGGTCTCCGGCCTCGGGAGCCGGC CD83_chr6:14117992-14118092 CCCGCGCGGCACAGCTCTGCAGCTCGTGGCAGCGGCGCAGCGCTCCAGCCATGTCGCGCGGCCTCCAGCT 373 TCTGCTCCTGAGCTGCGGTAGGGCTCGCGA CD83_chr6:14118092-14118192 GCGCCTGTCTCGCCTGTCGCCCCCCGCCCCTCCACGACACCCCCTCCCGTCGGTCGCTTGCTCACGACGCG 374 CTCTCTCTTTCTTGTAGCCTACAGCCTGG CD83_chr6:14118192-14118292 CTCCCGCGACGCCGGAGGTGAAGGTGGCTTGCTCCGAAGATGTGGACITGCCCTGCACCGCCCCCTGGGA 375 TCCGCAGGTTCCCTACACGGTCTCCTGGGT CD83_chr6:14118292-14118392 CAAGGTAGGTGCTGCGATACCCACGGGCTGGGGTTTGGTGGGCTCATTTGAAGACAGCAGGAACCATCTC 376 CCCTAGGCTGGCGACCCTCTGTGGCTGCCA CD83_chr6:14118392-14118492 GGTGGGGGCGAGGGGCGTCTCCCGCAGCTGAACTTGGAGTACCCAGCCTCCCGTCGCGCCTCCCCCACCC 377 CATCCGCATCCAGGTACAGGGCCGAATTAG CD83_chr6:14118492-14118592 GTTTTGCTCTCCGCAGACCTCAATCCCCTTCCTGTCACTGAAGGTGGCCTGAGATGAATGATCCACTTAAG 378 ATGTTTTGGAAGGGCAGAGACTCTCATTT CD83_chr6:14118592-14118692 GGATTAATTCTGGAGGCCACCTGTGGTTGTGGGCCAGCAGGTCAGGAAGAAAGCAACAGGGACCTAGAT 379 TTGGGCATTGGACAGGGGGAATGTCTCCAGA HIST1H2BC_chr6:26123614- CTCTCCAGTTCCTATATTCTAATACCCCTCCGCCGCCAAATAAAATTTGGCGTCTGGCCACAGCTCTTTTA 380 26123714 GTGGGTATCTGGGTGGCTCTTAAAAGAGC HIST1H2BC_chr6:26123714- CTTTGGGGTTAGGTGTTAAGACGCTTACTTGGAATGTTTACTTGGAGCTGGTGTACTTGGTGACGGCCTTG 381 26123814 GTGCCCTCCGACACGGCGTGCTTGGCCAG HIST1H1E_chr6:26156649-26156749 CTCCGGCCCCTGCCGAGAAGACTCCCGTGAAGAAGAAGGCCCGCAAGTCTGCAGGTGCGGCCAAGCGCA 382 AAGCGTCTGGGCCCCCGGTGTCCGAGCTCAT HIST1H1E_chr6:26156749-26156849 TACTAAAGCTGTTGCCGCCTCCAAGGAGCGCAGCGGCGTATCTTTGGCCGCTCTCAAGAAAGCGCTGGCA 383 GCCGCTGGCTATGACGTGGAGAAGAACAAC HIST1H1E_chr6:26156849-26156949 AGCCGCATCAAGCTGGGTCTCAAGAGCCTGGTGAGCAAGGGCACCCTGGTGCAGACCAAGGGCACCGGC 384 GCGTCGGGTTCCTTCAAACTCAACAAGAAGC HIST1H1E_chr6:26156949-26157049 CGGCCTCTGGGGAAGCCAAGCCTAAGGCTAAAAAGGCAGGCGCGGCCAAGGCCAAGAAGCCAGCAGGAG 385 CGGCGAAGAAGCCCAAGAAGGCGACGGCGGC HIST1H1E_chr6:26157049-26157149 GGCCACCCCCAAGAAGAGCGCCAAGAAGACCCCAAAGAAGGCGAAGAAGCCGGCTCCAGCTGCTGGAGC 386 CAAAAAAGCGAAAAGCCCGAAAAAGGCGAAA HIST1H1E_chr6:26157149-26157249 GCAGCCAAGCCAAAAAAGGCGCCCAAGAGCCCAGCGAAGGCCAAAGCAGTTAAACCCAAGGCGGCTAAA 387 CCAAAGACCGCCAAGCCCAAGGCAGCCAAGC HIST1H1E_chr6:26157249-26157349 CAAAGAAGGCGGCAGCCAAGAAAAAGTAGAAAGTTCCTTTGGCCAACTGCTTAGAAGCCCAACACAACC 388 CAAAGGCTCTTTTCAGAGCCACCCACCGCTC HIST1H1E_chr6:26157349-26157449 TCAGTAAAAGAGCTGTTGCACTATTAGGGGGCGTGGCTCGGGAAAACGCTGCTAAGCAGGGGCGGGTCT 389 CCCGGGAACAAAGTCGGGGAGAGGAGTGGGA HIST1H2BK_chr6:27114004-27114104 CTCCTTACCCAGACTCGATTACAAGCACTGCATGCATTACTCAGTGTGATAAGATCATGATAATCCCTTTA 390 AAAAGATCGCCCGAATTTAAGCCTGGATT HIST1H2BK_chr6:27114104-27114204 AGGAACACGTGTTTACAGCTCTAATATCGATAATTTAAGTGGCTCTTAAAAGAGCCTTTGGGGTTGGGCT 391 TTAAGACGCTTACTTGGCAAGTTTACTTAG HIST1H2BK_chr6:27114204-27114304 CGCTGGTGTACTTGGTGACGGCCTTGGTGCCCTCGGACACGGCGTGCTTGGCCAACTCCCCGGGCAGCAG 392 CAGGCGCACGGCCGTCTGGATCTCCCTGGA PIM1_chr6:37138284-37138384 CCCCGGCTCCGGCTCCTGCGGCAGCTCCTCTGGGCACCGTCCCTGCGCCGACATCCTGGAGGTTGGGATG 393 CTCTTGTCCAAAATCAACTCGCTTGCCCAC PIM1_chr6:37138384-37138484 CTGCGCGCCGCGCCCTGCAACGACCTGCACGCCACCAAGCTGGCGCCCGGTGAGAGCACCCCCCGCCTCC 394 GGCCCGGGGATGCGGGGCGGCGGCGGGATC PIM1_chr6:37138484-37138584 TCCTGGGTGGGGAGCTGGCGGCTCGCGGGCCGGCACTGAGTCCCCGTGCTTCCCCCTTTCCTAGGCAAGG 395 AGAAGGAGCCCCTGGAGTCGCAGTACCAGG PIM1_chr6:37138584-37138684 TGGGCCCGCTACTTGGGCAGCGGCGGCTTCGGCTCGGTCTACTCAGGCATCCGCGTCTCCGACAACTTGCC 396 GGTGAGTGGGCGCCCCGCGGTGGGGAGGGC PIM1_chr6:37138684-37138784 GCGCCGGGCGGGGGGCGCACGGGCGTGCTTTAGCCCGGACGAGGGAACCTGACGGAGACCCTGGGCTTC 397 CAGGTGGCCATCAAACACGTGGAGAAGGACC PIM1_chr6:37138784-37138884 GGATTTCCGACTGGGGAGAGCTGGTGAGTGCCCTGCAGGAGCGACCCCCAGGATGAGTGGGTGGGGTGA 398 GGGGCGCCCCCGACTCCCGCCCTAACGCGGC PIM1_chr6:37138884-37138984 CCCCTCGCCCCTGCAGCCTAATGGCACTCGAGTGCCCATGGAAGTGGTCCTGCTGAAGAAGGTGAGCTCG 399 GGTTTCTCCGGCGTCATTAGGCTCCTGGAC PIM1_chr6:37138984-37139084 TGGTTCGAGAGGCCCGACAGTTTCGTCCTGATCCTGGAGAGGCCCGAGCCGGTGCAAGATCTCTTCGACT 400 TCATCACGGAAAGGGGAGCCCTGCAAGAGG PIM1_chr6:37139084-37139184 AGCTGGCCCGCAGCTTCTTCTGGCAGGTGCTGGAGGCCGTGCGGCACTGCCACAACTGCGGGGTGCTCCA 401 CCGCGACATCAAGGACGAAAACATCCTTAT PIM1_chr6:37139184-37139284 CGACCTCAATCGCGGCGAGCTCAAGCTCATCGACTTCGGGTCGGGCGCGCTGCTCAAGGACACCGTCTAC 402 ACGGACTTCGATGGTGAGCCAGGCCCGGGA PIM1_chr6:37139284-37139384 GGGAGCTGCCCAGGTGACTCGGCCCGGCCCGGCCCAGTCCGGAGGCCTCGGCCAGTCTCCCGCGCCAGCC 403 TTTTGTAAAGGTCATTGGGCCGCCTGGCTC PIM1_chr6:37139384-37139484 GATCCTAGCCGGGGTGGGACGCAGGAGAGCCTCCCAGCGTAGTAAAGCCGGGGATTTTCAGCCAGCTGA 404 ACCTGTAATGTTTCTGGCATGATTTTATTCT PIM1_chr6:37139484-37139584 TCAAGTGGAATTCAGTTAGTTCCAGGCTTTCCCGATGAATAAGAGGTTGTGGGCAACCGGCGGTAGCCCA 405 GATTTTTCTAAAGTCTGACCCAGTTTCCCC MAP3K7_chr6:91004618-91004718 CTCTAAACAGACAAAAGCAAAATATCTCATTAGGCATCATCTCCGCCAAGGTTCCCACTAGGCAGGAAAG 406 GATTTTTATCTAAACTAATTACCCTTTTTA MAP3K7_chr6:91004718-91004818 GTTAAATACACTCAACAGATGAAATTTACAGAGAGTGAGAGACTGCAGCACTAGACAGCGAAGGTGAAA 407 ACCAGGAACGCCGCGTCTCGCCGGCCGCGGG MAP3K7_chr6:91004818-91004918 CCCGCCGGGAGACTGCGGGTCCGTCTTCGCGGTGGGGCGCCCCGGTCCCTCTCGTTTCCTGGAGGCCACA 408 GGTCACGGCGACGGCGGTGACCGGGAGAGC MAP3K7_chr6:91005793-91005893 CGGGTCTGACAGCTGCTGCGGCTCGCGCGGACGCGCGCCTCCTGCAGCCCGCCCTCCCCATGCCTGACTT 409 ATTACTCTCTGCTCCTCCTCCCTCTGCTGT MAP3K7_chr6:91005893-91005993 TCCAAAACACCCTTCGACGCCAGCAAAATACAATGCGCCTCGGCCGCCGTAAACAGCCGGGAGGGAGAG 410 CACACATTCGGCGCGGCGCGGCCGCCGGCTC MAP3K7_chr6:91005993-91006093 GGCTCCCACCCCCTTCCCGTTCCTAGAAAATGCCATAAAAGCGGGCAGGGCGCGGGGAGGGCGGCTGCGC 411 GCCCGGCGGCCGGGGCTCCCTTCCCGCGCC SGK1_chr6:134493732-134493832 TATGAAACAGCCAGTGCTACGTCTCCTTTATACCAAAACTGGTAGCCTGAAGAGCTCTCAGGCTTACCTAT 412 AAACGATGTTCAGTGAATGCAGGTAGCCC SGK1_chr6:134493832-134493932 AAGGCACTGGCTATTTCAGCAGCATAGAAACGAGCCCGTGGTTCCAGGAAGCAGCGTTCCCTCTGGAGAT 413 GGTAGAACAACTGCAGGAGACAGAACAAAG SGK1_chr6:134493932-134494032 TCATTCTGGGTTGCAAATGAATTTAATTAGTTTTGACATACACAGCAAAAGAACAACTGCAGGAAGTGGC 414 CCCAAGTAATCTATTAACTATAAACCTGAC SGK1_chr6:134494032-134494132 AGGTTGAAGGAAATGCTAATTCTGGTAACATTCTCCCCACCAAAAATCTTTGAAAACTTTTTTCTCAAACT 415 AAAACAAAGCAGGCTGTGCAGAGACACTA SGK1_chr6:134494132-134494232 AGAGTTGACTTCTATCCCCCCTGCTCACCTCTCCACCATTAATGTAGTCTAGGACAAAGTACAATTTGTCA 416 GCAGTCTGGAAAGAGAAGTGAAGGCCCAC SGK1_chr6:134494232-134494332 CAGGAAAGGGTGCTTCACATTCTTCAACAGAACATTCCGCTCCGACATAATATGCTTCTCCTAGGAAAAT 417 GACGATTCAGATTTAGTGGCATGTTTCAAC SGK1_chr6:134494552-134494652 GAGGACATGAAGGAAGTGTACCAAAAGATCTTCAGATTTGAAATTACCTTTCCAAAACTGCCCTTTCCGA 418 TCACTTTCAAGAAGTGAAAGTCAGATGGTT SGK1_chr6:134494652-154494752 TAGCATGAGGATTGGACGACGGGCCAAGGTTGATTTGCTGAGAAGGACTTGGCTAGAAAAAAAAAAAAA 419 GAATTTCTTTTAATACCATTGCTTCAAAGGA SGK1_chr6:134494722-134494822 AATTTCTTTTAATACCATTGCTTCAAAGGAAGACATCTATAACATAAACGATGTAGAAAATGTTACATCTA 420 CAAATGACTGATGCAAATGACCATACATC SGK1_chr6:134494967-134495067 AATAAAATAATACTCTGACTCAATACTTAAATATTTATATCACTTGTTATGCCATAATGAAGCATTCCTGC 421 CTTGATACTAATTTCTAGAAATGCTATTT SGK1_chr6:134495067-134495167 TAATCCATTAATGTAGGAATACTAACTGACTCCCTTACAGTTCTCCACACATGCACGGCACATACAAAAA 422 CTTACTGGAGGAGAAGGGTTGGCATTCATA SGK1_chr6:134495167-134495267 AGCTCAGGCTCCTGAGGTTGGGAGATCTTCAAGATGGACTGAACTTCAGGGCTGCAGGGAATAAAGGGC 423 ACGATTTAGAATCCAGCTCGCCACTAGGCGG SGK1_chr6:134495267-134495367 CACACCAACATCAAAAGTGAGTTTCTGGCTCTACCGACTTCTACCCGGATAATTCACTGTTTAAACTGAAA 424 ATACCCCAATACATTAGTCAGTTAAAGAA SGK1_chr6:134495367-134495467 AATAATAAACCCCATTAAATACAGAAATAAGGATTGTTGCTCATGGAGAAAGGCCGTGAATTCGGCCAAC 425 ACGAACCATTTATCTTACATCTCCAGTTCA SGK1_chr6:134495467-134495567 AGCCAAATCAGCAAATTAACTTTAATGTTTAAAATGTGTCAAATATATTAGAATTTAAGGAGAAATGAGA 426 TCCCCACCCCAGAAGAAGTCTTCGGCTTCC SGK1_chr6:134495567-134495667 CGATAAACGCCGTGATGAGAATGTTTACCGCTGGCAAATTCAAACTATACTAGTTATTTCCTCAAATCCGG 427 TCAAACTTACTGTTTGCATGCATAGGAGT SGK1_chr6:134495667-134495767 TATTGGCAATCTTCTGAATAAAGTCGTTCAGACCCATCCTCCTCTGCTTCATGAAAGCTGTGGATGAAGGA 428 GGAGAAATAAAGAAACGTTTAGACGGCTT SGK1_chr6:134495767-134495867 CATAACGTCCGGCGCCACACACACTAATCTGATCCGGGACTTTCAAAAAATTTCCACTTTGCGTCTCCTGG 429 AGCAGAAGTCCCGCAAGATTCCTGCACTC SGK1_chr6:134495867-134495967 ACCGATGAGAATTGCCACCATGCCCCTCATCCTGGAGTAAGTGAGGGTGCCCTTAGCAGCCTCAGTTTTC 430 ACCGTCATCACCACCGCGGGGAGACAGAAA SGK1_chr6:134495967-134496067 GACGTTAGCGCTCAAAGACCGGCTCGGCGTATGCTGCGCCAGGCCGCGCGCTCGGCCTTATAAAAAAGGC 431 ACCGCCGCGGGGGCGGGGCCTGCGCGACAG PLEKHG1_chr6:150954420-150954520 AGGGTGAGAGGAGTCACCAGGTAAAGATGGGTTGGAAGGACCTGGCAGGCAGAGCAGGGAGCAGGACC 432 CCAGTCCAGGGCAGCAGGGAAGCGGGAGTCTG PLEKHG1_chr6:150954520-150954020 GGCAGAGCTGATTCCAGGCAGCTCAGTATTGCTGGCCTGTGCATCCTGAGACTTATCCGAGTCGCAGGTG 433 AAGCTGGTGGGAATCAGGCAGAGTGCAGAG PLEKHG1_chr6:150954620-150954720 CTTTAGCTGGGGCAGGGTTAGCCAAGAGCCTGTCATGGAGCTGCTCTCTGGGCACTGGGAAACATAAGTC 434 TGGAGGCTTTGGCTGCAGCTGCAGATAAAG PLEKHG1_chr6:150954720-150954820 ATGCAGGGGCCTCTGACGATGGGGGCCTTAGTCATCTCAGAGGTGGTGCAGAGGGTAGAAGCCTGACTG 435 GGGTCAGAGATGAGGAAGGAGAGGGTCAGAA PLEKHG1_chr6:150954820-150954920 ACAGTGATTCTAAACCAATTTGGTTGAGGCAGAAGATACTAATGGCCGAGGGGAGGAGAGAGGGAGCGT 436 AGGCTCTAAAGGGGAAGCTTGTTAGCAATGA EZR_chr6:159238415-159238515 AGACAGAGGCGCAGGCACAGCCCTTTCATCAGCTGACCAGGAGTGCTCGGCCCGGCCTGCCAGGAACCTC 437 TTATCAAACTCCACCGGCTGCCTGCATCTA EZR_chr6:159238515-159238615 CAATTCAAGTCCATGGCTAACCTTCTGTTAGAGACAGAAATTCTGCTGCAGCCAGCAAGTTTGCTGGTGT 438 ACAGGGCACCGCTTCATGGGCCTAGTAGGA EZR_chr6:159238615-159238715 AGCGAAGCTGAAAGGCAACTTCCGAAAGCCAGTGTCCTCTCCCAAACGCCCTTTAATATCTCCCCAGTTG 439 GATCTGGGGCGCCTGTGGTTTCGGACCCTT EZR_chr6:159238715-159238815 AGGAGCTCTGAGAACTGGTGTGTGTGGTCGGAAGCCATCTGAGTCTCCCTGTGATTTGGACTTTTTAAGA 440 AACTTCTAAGTTGTATTACTATACCCTTTA IMMP2L_chr7:110545276-110545376 TTCCCTTGTCATATGACTTCCATCCCTCAGCACTACAATATTATCATTAATGTTTAAATCATTGTCAAGTCTG 441 TGATTGCCTTAGAGATTTATTAAGAATA IMMP2L_chr7:110545376-110545476 ACATGCTAGGATTAGGAAAGTTTAACTTTTACCATCCTTAAAATTAGATTTTTGAAAACTGTCTTATCCC 442 CATTAAAGAAAAAAATAAAAAGGATGAAT LRRN3_chr7:110697971-110698071 TATACATACCTGCACATATATACAGCATATGTATATGTGTCTGTATTATATGTATTAAATGAAAGATTATC 443 CACATTTTGTTCTTTAGGATCTTCAGCAG LRRN3_chr7:110698071-110698171 CTCTCTTCCCATCACAATAGAAAGGCCTGAGGTAACATTTCCATTTCTGCAAAAGGCAGATTTTGTTCAAT 444 TAAAAATTATAATGCCTTAAATTTCCACA LRRN3_chr7:110737411-110737511 GACATTTAAGAGACTTCGTTTTCACTGTGATAAACAGGTTTGATTTGGACTTATAACTTTTTTCTAAAATT 445 ATCAAATTAATAACGACTATAATGAAATA LRRN3_chr7:110737511-110737611 GAGGCAAATATTTTAGAGGATTCATTCCTTGGGGTAACATTTGTTCTATAATTTATAGTCTCATAATGTTG 446 AGAGATTAAAGCATTTAAATAACATTGTC LRRN3_chr7:110737611-110737711 AACTAACTTTCAGCTTACCTTTCTTAAGGAAAAAAAACAAAAAAATGTTAAAAATAGACATGTATTTTTC 447 AAACATACAATTCATGTTTTTATGTCATTA LRRN3_chr7:110746681-110746781 AAGAGATGTGAGGGACTTATAAATAATATTAAGATAACAGGAATTAAAGTCTCGGTGTGTGAAAATACTG 448 TATATCTAGATGCACATAAAAACTGCCCT LRRN3_chr7:110746781-110746881 TACAGATCTTGCAGGGAAAAGTACCTGACTATACTTGTATAAGACTTCTGCTGTACCATTTAATCATACCA 449 AAAAAATGGAATCAACACACAAATAGATT LRRN3_chr7:110746881-110746981 TCTTTTCCACTGTTCTCAATTTAAAAATAATTGGAGAAATGTGTGCTTTGTTTAGAAGAGTAAAGGAAAAC 450 ATTCATTCAATAGTACCATGCAGAATCGAT KMT2C_chr7:151943421-151943521 CAGAAAAATAGAAAGATTATCATCGGATTTGGGAATCAAAGACAGCTCAGCAAAATACTAGGACATGGC 451 TCATATAAGATGGAATAAGCCTGGAAATACA MYC_chr8:128750367-128750467 CTTTAGGGGATAGCTCTGCAAGGGGAGAGGTTCGGGACTGTGGCGCGCACTGCGCGCTGCGCCAGGTTTC 452 CGCACCAAGACCCCTTTAACTCAAGACTGC MYC_chr8:128750467-128750567 CTCCCGCTTTGTGTGCCCCGCTCCAGCAGCCTCCCGCGACGATGCCCCTCAACGTTAGCTTCACCAACAGG 453 AACTATGACCTCGACTACGACTCGGTGCA MYC_chr8:128750567-128750667 GCCGTATTTCTACTGCGACGAGGAGGAGAACTTCTACCAGCAGCAGCAGCAGAGCGAGCTGCAGCCCCCG 454 GCGCCCAGCGAGGATATCTGGAAGAAATTC MYC_chr8:128750667-128750767 GAGCTGCTGCCCACCCCGCCCCTGTCCCCTAGCCGCCGCTCCGGGCTCTGCTCGCCCTCCTACGTTGCGGT 455 CACACCCTTCTCCCTTCGGGGAGACAACG MYC_chr8:128750767-128750867 ACGGCGGTGGCGGGAGCTTCTCCACGGCCGACCAGCTGGAGATGGTGACCGAGCTGCTGGGAGGAGACA 456 TGGTGAACCAGAGTTTCATCTGCGACCCGGA MYC_chr8:128750867-128750967 CGACGAGACCTTCATCAAAAACATCATCATCCAGGACTGTATGTGGAGCGGCTTCTCGGCCGCCGCCAAG 457 CTCGTCTCAGAGAAGCTGGCCTCCTACCAG MYC_chr8:128750967-128751067 GCTGCGCGCAAAGACAGCGGCAGCCCGAACCCCGCCCGCGGCCACAGCGTCTGCTCCACCTCCAGCTTGT 458 ACCTGCAGGATCTGAGCGCCGCCGCCTCAG MYC_chr8:128751067-128751167 AGTGCATCGACCCCTCGGTGGTCTTCCCCTACCCTCTCAACGACAGCAGCTCGCCCAAGTCCTGCGCCTCG 459 CAAGACTCCAGCGCCTTCTCTCCGTCCTC MYC_chr8:128751167-128751267 GGATTCTCTGCTCTCCTCGACGGAGTCCTCCCCGCAGGGCAGCCCCGAGCCCCTGGTGCTCCATGAGGAG 460 ACACCGCCCACCACCAGCAGCGACTCTGGT PAX5_chr9:37024919-37025019 GCTCCCCATCTGTCCCCACAGTTGCTCCTTGGCTGAGCCAAGGGCTTGCTCACCTCTCAGAGCATTGCCCT 461 AACTGGTTTGTTTTGGGCTTACATTGCAA PAX5_chr9:37025019-37025119 GATCAGGTCCTCCCCAGAGCCAGGCTGGAGTCCGAGGCAGAAAAGGCTGTGGAGGGCACTGGGGTCACC 462 ACAGACTGGAAACCGGTTGGGCGCAGGCCCC PAX5_chr9:37025019-37025219 AAACCTTGAGGAATCGTTTGGGCTGGGACCAGAACAGGGGGCTCCTCTGCACAGAGCTCCCCACCGCTTT 463 GGTGGATTACTTCAGACTCAGAAAATTGAC PAX5_chr9:37025219-37025319 ACAAAGAGAAACTGACCTGCCCGCAGCCAGCCCTGGCTGCCTACACAAGCTTTCCCCTGCTTGCCAGGCC 464 ACTCAGCACTGCGTGGCAGACACGGACATG PAX5_chr9:37025319-37025419 CTCGCCCCGGGAAGCTCACCTTCACTCCAGCCGGGTCTCTGCTGCCTTTGTTAAATAGGGGACCTGCGGCT 465 AGGAAAGCTGGATCCCAGGCTGTTGGGAT PAX5_chr9:37025419-37025519 GGGGGGGAGCGGGGTGGGAGGACCAGGCATGGGGACGGCTCCTAGCCCGGGAGCAACTCCCTGACCTGA 466 AGCCCGCAGAGACCCCGAGCGGCACCCGAGC PAX5_chr9:37025519-37025619 CGAGGCTGCCGAAGCCTGTCACCTTCCTCCAGCCTGGCTCTGCAGCAAACAGAAAGGAAACGCGATTCGT 467 TCCACTTGGAATTTCCTTGAAATCTCCGAA PAX5_chr9:37025619-37025719 TCTAATCCGGCGTTAACTCACCGTGAGAGGAGCGCTCATCTCACAGGAGGCTGTGGTAATGGGTGAATTG 468 GCAGGATCCCTGCGGGCCAGGCAGCCAGGC PAX5_chr9:37025829-37025929 TTTTCGTTTCTTATCCTCTTTTTTTAAAGGGGAGAAGCCATGAGAAAAGGCGTCCTGCAGAGAAGGACCC 469 AATGGGGTCTTTAAGGGTCTCTGTATGAAC PAX5_chr9:37025929-37026029 TGGCCGGCTCCTAAGCAGAAGCTGAACTCAGAAACCGCTACTTCCTTGATTTTTCAAAGCCCCCTCCTCAA 470 CTCCAGGACGCCTTTGGAGCCCTAGCCCC PAX5_chr9:37026269-37026369 TGTCGCCGCCGGAGCCTTGAAAGGCTGCAGCTCGCTGCCCAAGCTACGCGTTGCCGGAGGCGGGATTCCC 471 AGGTGCCTCAGCCCGGGCGGGCAAGTGCGT PAX5_chr9:37026369-37026469 TGTTTCAGGTCCCCTGCCTGGGATCCCTGCACTTTGCAAAGTTAGCTGCGCGGCTGCAGAGGTCCGAGATC 472 CTTCCGGCCTTAGTACCTGACCCACGGTC PAX5_chr9:37026469-37026569 CGGCACCCCCAACCCGGTCCCGGCGGGAGAGTGAGAGAAGCGAGCTCGCCGCCTACTTACTATGCATGGA 473 TGCAAACGGGTCGTGCTTACAGTGTATTTC PAX5_chr9:37026569-37026669 CATCGGGGCGCTCCAGACTGCAGGCCGGCCCACGCCGCCGCCTCCCGGCGCCAAGGGGCTGCCCAGGGCG 474 GATAGGGAGCCTCGCCACCAGGCCAGGCAC PAX5_chr9:37026669-37026769 TGTGCGAGCTGGGCTCAGAAAACACTGCTGGAGCTTCGGGGTCTCTCTCAGAGCCTCCCTGCTGGAGACC 473 GCCCGGAGCTGCGCGGAGAGGCGGGAAATG PAX5_chr9:37026769-37026869 GTGCTAGCGCACCCGGGCTAGGAGCGGGTGCCCAACTCCGGCTGGCTCCCTCCCTGGCTGGACAAGCA 476 GCAGCTCCGGGCCCAGCCCGGGGTAGCTGC PAX5_chr9:37026869-37026969 GGCCAAGGCGCCCGCGGCTTCGGGGGCATAGCGTAGGGGCCCGCCTCCGGGACAGCCAGCAGCCCCCGG 477 CCCCAGGAAGGAGCAGCTTTGAGGAGGCCGC PAX5_chr9:37026969-37027069 CGGAACAATCGGCCCTTGACTTCACTCAGGGGGCGGAGAGACCCGGGGGCTGCCAGGCTGGTTCCGCGGC 478  CTCGATGCTTCTGAGGTCCCTCCTCGACCC PAX5_chr9:37033619-37033719 CACACAGGCAAACAACTTTTGGACACAAACTCATATATTTTTACATCTTTTAAAAATACATATACTGTAAT 479  GAACACACTGAGTCCCTTATATAAACACA PAX5_chr9:37033719-37033819 CAGGCCCTAACTTGCAGACCCCCGGAAGGACGCCAGCGTGAACATTCAGAAACAGAGAAAAACACAGAC 480 AAACTCACAGATATTTGGACTGATGCAGAAG ZCCHC7_chr9:37293169-37293269 ACAGTTTGAAGTGTGAGCCTGAACATGTTTGATCTAAGGTCTGGAGGAAGATGTGAAGCAAATCTGACCT 481 AAAAAAAATTATAGGAAAAAAGCAAATTGT ZCCHC7_chr9:37293269-37293369 TCTGGATTTGTTTCACCAAGGAACAAGTAAGCAGAGAACCAGACACTGGAGAAAAAAAGGAGTCAGGAA 482 GTAGACAAGGAAATGTTAAAAGAAATAATAG ZCCHC7_chr9:37293369-37293469 GATAACTGAAAGAATGTAGCTTCCAGATTGCTAGCTATCAGCAGATAGATAGAAACTTTTATACAGCCTT 483 TAAATCTTCCCTAGAAACCTTTTTAAAAGT ZCCHC7_chr9:37371494-37371594 CAAGGGCCTGCCAGGATGAGAACGGGCAAACCTGGCCAAGGTGACCCCATTAGGGACTACCCTCCTAGG 484 GACAGCACTCAGGGCCGTTCCCAATCACCCC ZCCHC7_chr9:37371594-37371694 GGATGGCCTGTCCTGCTCGTCTCCTGCCACACCTCCTTTTGATCTACCCCCTAAGACACCCCTACCTTTTTAT 485 TCTGTGAAAATTTACTCATGCTGTGGGC ZCCHC7_Chr9:37371694-37371794 CCTGCTGGAAATGCCCTCCTACTGTTTCCCCAAACCCCGTCAGAAATTCCACGGGGAAACTCCCTTCCCTT 486 CTGCTGCAGGCACCGTCACTGTGTCTCTC ZCCHC7_chr9:37371794-37371894 AGCTCTGCCCCCCAGCCTCTGAGTACCACCTTATCCTAGCCCTTAGCTACTGGCTTGTCATTGTCTCTTTAC 487 GTTCTCAGCCTCCCACAGAAGCCTGGGA ZCCHC7_chr9:37384684-37384784 AGGCACACTCGCCCCTGGTCTCCAAGGCTCTGGGTCCTCAGACTGGCTGAGTACTGGGGACCAAGGTCAC 488 CCAAGAAGCCCTGAGTGGCCCTCTTGAGGG ZCCHC7_chr9:37384784-37384884 TTAGCAGAGCTTCTCTCTGTCCAAGACAGGTCAGGCTCTCTCCCCTGGCCCCAGCTCCACCGTCACTCAGA 489 GGAGTGGCCTAAACAAACGCTGCAGGTGA ZCCHC7_chr9:37384884-37384984 GGCTCCCGAGCCCCTGACATGGATGTTTATGGAAGAGGACTCTTGGCATCAGCACCTGGGCAAGGTGGGT 490  AGAGGCAGGAGTGGGCAAATGGGAAAGTCT GRHPR_chr9:37407369-37407469 GGAGAGCCGTTTGAGATTCACCAGCTTGAATGAACCCCGGTTTTTTTCTGGGTAACAGGTCGAATGTGAAT 491 TACTTATTTTCACAAGCTCTTGACATGTTC GRHPR_chr9:37407469-37407569 CGTCAAATTGCTGTTCCCCAAAGAGTGGACTTCTGGTGACATATAAGTGTGTGGGACCATTGCATCTTACCC 492 CAGAGATCCACTCCTGATCTGGCATTATT GRHPR_chr9:37407569-37407669 CAAAATCTGCTGAATTCAAAACGATCCTGTACTTCCTGCTCACCAGGTCTGAAAAGAAAAAAGAAAAAAG 493 AAGAAGGAAAGACTACACCTGACAAAAGAC FAM208B_chr10:5755066-5755166 TTCACGGTTTCTCTTTAGTTTTATCTGAAATACATTTGTAAGCTTAGGGTGCAATTTGGATTAAAACAGTT 494  TTCTTTAGTGTCAATAATGGCCTTTACTA FAM208B_chr10:5755166-5755266 GAGTGAATGGATATTTTTCCATTCTGGATTATCGTTTAATCGAAACTTTGTTTCCTGTGGAAATTTTTCTG 495 GTTTAAGTTATTTGATTTGGGAGATAAAT FAM208B_chr10:5755266-5755366 CATGTAACTTAATAAACTTTGGCATCCTGGTTAACTGAAATTGCTTCATTCAATATTTGAAGACTGAAATC 496 TGTATTGTTGCCTGTACCTAAATTATGGG FRMD8_chr11:65190342-65190442 GGACAGACAGGGAGAGATGACTGAGTTAGATGAGACGAGGGGGCGGGCTGGGGGTGCGAGAAGGAAGC 497 TTGGCAAGGAGACTAGGTCTAGGGGGACCACA FRMD8_chr11:65190442-65190542 GTGGGGCAGGCTGCATGGAAAATATCCGCAGGGTCCCCCAGGCAGAACAGCCACGCTCCAGGCCAGGCT 498 GTCCCTACTGCCTGGTGGAGGGGGAACTTGA FRMD8_chr11:65190542-65190642 CCTCTGGGAGGGCGCCGCTCTTGCATAGCTGAGCGAGCCCGGGTGCGCTGGTCTGTGTGGAAGGAGGAA 499 GGCAGGGAGAGGTAGAAGGGGTGGAGCAGTC SCYL1_chr11:65266552-65266652 GGGGCAGGCGGAGCTTGAGGAAACCGCAGATAAGTTTTTTTCTCTTTGAAAGATAGAGATTAATACAACT 500 ACTTAAAAAATATAGTCAATAGGTTACTAA SCYL1_chr11:65266652-65266752 GATATTGCTTAGCGTTAAGTTTTTAACGTAATTTTAATAGCTTAAGATTTTAAGAGAAAATATGAAGACTT 501 AGAAGAGTAGCATGAGGAAGGAAAAGATA SCYL1_chr11:65266752-65266852 AAAGGTTTCTAAAACATGACGGAGGTTGAGATGAAGCTTCTTCATGGAGTAAAAAATGTATTTAAAAGAA 502 AATTGAGAGAAAGCACTACAGAGCCCCGAA SCYL1_chr11:65266852-65266952 TTAATACCAATAGAAGGGCAATGCTTTTAGATTAAAATGAAGGTGACTTAAACAGCTTAAAGTTTAGTTT 503 AAAAGTTGTAGGTGATTAAAATAATTTGAA SCYL1_chr11:65267397-65267497 TTGGAGAAGTATAGAAGATAGAAAAATATAAAGCCAAAAATTGGATAAAATAGCACTGAAAAAATGAGG 504 AAATTATTGGTAACCAATTTATTTTAAAAGC SCYL1_chr11:65267497-65267597 CCATCAATTTAATTTCTGGTGGTGCAGAAGTTAGAAGGTAAAGCTTGAGAAGATGAGCGTGTTTACGTAG 505 ACCAGAACCAATTTAGAAGAATACTTGAAG SCYL1_chr11:65267597-65267697 CTAGAAGGGGAAGTTGGTTAAAAATCACATCAAAAAGCTACTAAAAGGACTGGTGTAATTTAAAAAAAA 506 CTAAGGCAGAAGGCTTTTGGAAGAGTTAGAA BIRC3_chr11:102188381-102188481 TGGTGTAAGAGATGTGCCAGCGOCTGGCCGAGGGGCGCTTAGGGCTAGAGCCCGGGGCGCTGCAGAGGT 507 TGAGAGTCAGTGGGTGGGGCGCAGTTATCAA BIRC3_chr11:102188481-102188581 ACACCAGGGCCCAAAAGCAGGCTCTAGATAGGTTCCAGGTGCTCAATTTCTATTTCACGTTTGGAGTGAG 508 CCAGTGGAATTGTGAAGTTGTGGCATTTG BIRC3_chr11:102188581-102188681 ATTCGGTTGCCAAGAGTTATCACTGGGCCTTTGCAGGTGCCAAATAAATTTCAGGACAGACCCTAAGGCA 509 GAGCTCTGGCACAGGAAGGAAGTAAAACGT BIRC3_chr11:102188681-102188781 TTAATGAGCAAATGGACGCATGTTTCCAAGGGGTGGTAGGAAGACAGCAGTTTTTGGTTGTCTTCCTGGT 510 GATCAGCATGGAAACCTAGTAGTGCTCTTA BIRC3_chr11:102188781-102188881 CTCTGATCAATACATTGTCGAAGGCATGTACCTGATGCTAACGTAACAATAATATTAAATATTGACTTTAT 511 TTGCTATTATTTATTGCTAACATTAAGTA BIRC3_chr11:102188881-102188981 CTGCTACCTGCTATGTGCTAGGTTTGTCTCTGAAGACTTTACATGTATTTTTCACGTTTAATTATCATAATC 512 TTAAGAAGCAGGTACCATAATTATCTCC POU2AF1_chr11:111249311-111249411 GGGAAAAAGAATGACGAAAGGCAAGACAGTGGAGCAAGTGAGGACACGCTTCACCGAGCCAGATCTCCA 513 CTCCTCCCAGGGTATCCACAGGGACAAGTCA POU2AF1_chr11:111249411-111249511 CACCTGGCAGAAAGCTAAGTCACTCAGCTAGAAACAGGCCCAGGGAATTCAACAGAAGGCTGAAGAGCC 514 ACTGCTTATGGAAATAAAGCCCCTCCTGTAA POU2AF1_chr11:111249511-111249511 AGAACTGCATGGCTTTTCCCTCCCAACCCCAAACCCATCCCACATCTGGCTTTTGTTGTGTGAATCATAAA 515 CTGCCCTTTCTTCACCACAGTGATTCATG CXCR5_chr11:118754793-118754893 AATCCTCTCCCACTGTGGATCTGTAAAATCTAGACAGGTCAGTCAGCTCCCGCCCTTTAAGAGTTT 516 ATTTTCCATTCTGTGGAAGAAGCAGATAAGGAGA CXCR5_chr11:118754893-118754993 GCTGCTGTCCTTAGGAGACATCCTTTAGAGGAAGCTGGAAGACACGGGTTCAGGCCCTGCATCCTCCTCT 517 GAGTTGCTATGTGACTGGGAACAGGATACT CXCR5_chr11:118754993-118755093 TCACCTCTCCATTCTTTCTCTCCTTTTCTCTTAGGGTCGGAATATGGAACTAGACAGGAAAGTACTTTGGA 518 GGTTTTCTTACCGTAAGGAGGCTGGCATT ETS1_chr11:128391383-128391483 GGGCCCTCCACCCAGCCTCAGTTCTATGGGGGACGTGGAGTCAGGCGATGATGTCCTCTGAGGCAGCGTC 519 CATCTCCCCTTAACATTAAGGAATAAGGCC ETS1_chr11:128391483-128391583 AGAGGGTTCTCGCTCATTTGGGAAAATAAAAAAAGCAGGAATGGGGCGCTGGAAATTCTATAAGCTTTTC 520 CCCACCACTCACAAAAACACAGCTGTGAAA ETS1_chr11:128391583-128391683 ATAAATACCACCCCCCAAACCAAGGGTCTAGGGCCACCAACAGTCCTCCTCCTCCTCCTCCTGCTCCTTCT 521 CCTCCTCGTCCTCCAGATCCAGCTGCCAA ETS1_chr11:128391648-128391748 CCTTCTCCTCCTCGTCCTCCAGATCCAGCTGCCAACAGCATCCCCCGCTCCTGAAGAAATGCACCGCCCAG 522 AAGGGAACGGCGAAAGGGGGAAGAAGTCC ETS1_chr11:128391748-128391848 AGGGGACCCCCGGCCTCTGGCCGAGAGCTTGGGTGGGGGCCTCGGCCGTCGCCACTCACCCGGGGAGGG 523 GAAAAGCTCCAGATCGACTTTTTCCGTCTTG ETS1_chr11:128391848-128391948 ATGATGGTGAGAGTCGGCTTGAGATCGACGGCCGCCTTCATGGTGCCAGGAGTGGGGGACGTACGGGAT 524 GGTAGCAAGTTTGCAGTTACTGTTGTTTTTC ETS1_chr11:128391948-128392048 TTTTTAATGAGGATTAGTAACAGGGGGAAGGGGACGGGGGAAATCCGACTTTCTTCCCAAAAATCTCAAA 525 TTCCCGCTGCCTTTCTTTCCCCCGCGCCCG ETS1_chr11:128392048-128392148 GACGGTGCGCGCCCGGCACTCCAGGGGAAGTTGGCACTTTGCGGCGAAGTGAGCGCGCTCGGGTCCCAGC 526 CTCGCCCGCGCCGCGCCCGCTCCTCCTGCC LRMP_chr12:25205888-25205988 GAGTGAGTAGCAAATATTCATTTATGACCCAGTTTTTGTCCACCCTCAGGCGGGGCATAGGACTACAGAC 527 ATTTTTCTAGATTACAGCTAGGATATTATT LRMP_chr12:25205988-25206088 CCTGAGTTTATGACAATGAAATGGTTTGAGAAGGCAATATTGTGGGGCTTTCAGAGAGGTTTGCTGAGTG 528 GCTAGGTGCATGCATGGGTTTAACCATTAA LRMP_chr12:25206088-25206188 CTTCCCTTTTTGCCTTTTTATTATAAGCGGTTTTGTCTGTGGGTGTTTTTTTCTTTTAAAATTAATTAAAAC 529 TTCTCAAAATTTCTAAAAGTAAACAAG LRMP_chr12:25206398-25206498 GCATTCTCTACATACATCTACATACATATTTTGCATTTTAAAAATTGCAATATTTGTCATTTTTCTGTATTA 530 CCCAAAAGTATATAAACAGTTACCAGAG LRMP_chr12:25206498-25206598 ATTTATGTGAGAAGACAGTTGTCACATTACAGATGTCAGATTAGCTATAAAATTGTTTCATTCTAGAAACC 531 TAATATGGTAAAAATAAACCTTACTTATT LRMP_chr12:25206598-25206698 TAGCCATTTATCAGACAATTGCTTTTGTTCAGCCAGTTTCTTGTTCTAGCAGTATAAATATTCTTTTTATAG 532 AAAGTTACTTGGTTTGAGAAATAAACAT LRMP_chr12:25206748-25206848 ATAAGCTTAAGGTAGGCTAGAGATGAAAAATTTCAGACTTGTCTTTTGTTTTGGATTTATTGTACCCTTTCT 533 ACTATTATCTGAGAAAGCTATTTAGGAGT LRMP_chr12:25206848-25206948 TTAAGAAATAGTCTAGTTTTAAAATAGCAATGGTTTGCCGGACACAGTGGCTCACCCCTGTAATCCCAGC 534 ATTTTGGGAGGCCGAGGTGGGCAGATTGCT LRMP_chr12:25207088-25207188 GAATTTGCCAGTTTTCAATATTCTGATTCACTCTGTTAAGCTAGTAAGGCAGTCTTTAAATTACACAGTCT 535 GTGTGTTATTTTACTACTGCTCAGAGGGC LRMP_chr12:25207188-25207288 ATTGGAGAAGGTTCCCTTGTGATTAGAACTGTTCATGTTGAGACATGAATCATAAGGCATTCCAAAGTTG 536 GTTTAAGGTGTGTCTGCTTTAGACACTGTG LRMP_chr12:25207288-25207388 CCCAGGACTATTCTTTTGCTCCAGTTTTGCCTTTTGATTAAATCAATATTATACCTGAGTTTTATAAACTAC 537 TAAGAATTTGTTCCCCTTCCTCACTGTG LRMP_chr12:25207388-2520748S ATTTTCTTGCAGTATTTTCTTAGAAGAGTCAACTTTAATAACTTACCCCAAAGTGCACGTTCTTGATATTA 538 TGAACTTGCTATTGTTGTCTTCCCAGTTT BTG1_chr12:92537875-92537975 TATTGTAGTTTTTGGAAGGGCTCGTTCTGCCCAAGAGAAGTTCCTCCTTACAGCTGATTCGGCTGTCTACC 539 ATTTGCACGTTGGTGCTGTTTTGAGTGCT BTG1_chr12:92537975-92538075 ACCTCCTGCTGGTGAGGCTTCATACAGCACACAGATGGAGCCATCCTCTCCAATTCTGTAGGACACTTCAT 540 AGGGGTCAACCCAGAGTGTGAGTTCACTT BTG1_chr12:92538075-92538175 GGGAGAAGCCTGAACAGCTCCTGACTGCTCAGTCCAATCCGCTGTGCTGCCTGTCCAATCAGAGGATCCA 541 TTTTATGGTTGATGCGAATACAACGGTAAC BTG1_chr12:92538175-92538275 CCGATCCCTTGCATGGCTTTTCTGGGAACCAGTGATGTTTATAATGTTCTATAGAAGAAAAGAAGAACAG 542 AGAAACAACGCTTAGGATCGTTAGCTCCCA BTG1_chr12:92538275-92538375 CTGCGGATTCCTCCTACCCCAGGCTCCTTTGAGGAGCGAAAATGAAACTATCAACTTTTTAAAATGTCCA 543 GGATTGCATCCGTTGTTGTGCATGTGCGG BTG1_chr12:92538375-92538475 GGATGGAAAAAGCGGGCAGGGTTTTAGAAATAACACAGTAGTACCGGACAAAACAATCTCCAGGAACCA 544 ACCGGTTGAGCCGCCAAAACAGGAATCAGGC BTG1_chr12:92538475-92538575 GCGCAGCCTCGGCCAGTCGGGAAGCCACTGGCACCTATGGCCAGGCGAGAAACTGTTTACTTTCTCCACC 545 CCACCCCAGATGCACACAATGGAGTTGATG BTG1_chr12:92538575-92538675 GCTTTGGAGATGAGAAGCGCCACCGGACTGTTAACCCCGAAGGGAAGAAAAACAAGCAACCCTAAACCA 546 CGCTCTGGGCAGGGCTGTTAATTGTGCCGGT BTG1_chr12:92538790-92538890 ACGCAACGGTTGGAGGGGGCTGAGGAAAGGGGACGTCGAACCCACCCCAGCCCCACGGCTCCTTTGTCCC 547 CAAATCCGCCGACGGTCCTCGGACCGCAGC BTG1_chr12:92538890-92538990 TCCCGCCTCGGTGGGCTTAAGTTTCTTTGTTGTGCGTGTTGTCTTCTCCTCTCCGTTTTGCCAGCTGGGGGG 548 AAGGGGGCGCCCTCCGTCCAGCCCCTAA BTG1_chr12:92538990-92539090 AGCCTCGCGGGGAACCGCTGTTAGCGGCCACCCAGCGCAACCACACCGGTCCCGCGGCGGGGCCCAAGC 549 GCGACCGGCCCCGGGGCGCTGCCGAGGTTCC BTG1_chr12:92539090-92539190 CGCAGCCCCGACGGCCGGACTCTGACCCAGGGATGTGGGGCCCGCGTCCCTCCGACGCCCTCGCCCTGCT 550 CACCTGCCAGCAGCTCCTGCAGGCTCTGGC BTG1_chr12:92539190-92539290 TGAAGGTCTGCAGCTGTCGCTCGCTCGTGAGCCCCTTGGTGCGGAGAAACTTGGAGATGAAGGACACGGC 551 GGCGGCGATCTCGCCTATCATGGTGGCGGC BTG1_chr12:92539290-92539390 CCGGGTGTAGAAGGGATGCATGGGGGCGGCGTGCGGGGGCGGCCCGGGGCGGCTGGGGCTCGGCGGCGC 552 GGCCCCGACGGCGGAGCAGCCACCCCGGGCT DTX1_chr12:113495364-113495464 ACGCCGCACCCCTCCCCCGTGCGTTCTGCGGCCACCCAGGCCTTCCAGGACACCGTGGAGAGGGAACAAG 553 GGGGCAGGGACGCCCCCTTCGGCAGGAGCC DTX1_chr12:113495464-113495564 GTCGGAGAAGGGGGCCCAGACCGGAGGGAGGCGAGAAGCCCCACTGAAGCCGGGCGCAGGGTCTGGGA 554 CGCAGTTGGAGTGCAAAGGGCTGGCTGAGAG DTX1_chr12:113495564-113495664 CCCCAGGAGCAGCAGGCTGTGGGCCAGGCCTCCTGGGTGACAGGGGTGTCTGGCGGGGAAGAGGGACC 555 AAGAGACAACACGGAAGAGGCTGGACCTCGA DTX1_chr12:113495664-113495764 ACAGGGGCGGCTGCCTCACTCCCTACCTGAGCCAGCCGAGGGGGCCAAGGACTTTAGAGAGTTTCCTCC 556 GGCATAAGAGAGACACTTGCTTTCCAGGGC DTX1_chr12.113495764-113495864 AGCACCCTTTATCGGAGAAGGCTCTACAGGGAAGGGGTCTTTGCACCCTGGATGGCCATCCCACATTCCT 557 TTAACGGAGGTCTCTAGGCCTCAGAGAGAA DTX1_chr12:113495864-113495964 CCCAGAGTTAGAAAGGAGGCCAGACGGTCCTTGCTGTCCCCCTGGGGAGAGAGGAAGTTGCCGCCTGCTG 558 CCAGGCCCAGGAGGAGCTGGGCCTGCAATA DTX1_chr12:113495964-113496064 GTGGGGGACCTGGCCCCTGAGGCAGTGGCGGCCATGTCACGGCCAGGCCACGGTGGGCTGATGCCTGTG 559 AATGGTCTGGGCTTCCCACCGCAGAACGTGG DTX1_chr12:113496064-113496164 CCCGGGTGGTGGTGTGGGAGTGGCTGAATGAGCACAGCCGCTCGCCGCCCTACACGGCCACCGTGTGCCA 560 CCACATTGAGAACGTGCTGAAGGAGGACGC DTX1_chr12:113496164-113496264 TCGCGGTTCCGTGGTCCTGGGGCAGGTGGACGCCCAGCTTGTGCCCTACATCATCGACCTGCAGTCCATG 561 CACCAGTTTCGCCAGGACACAGGTGAGCAG DTX1_chr12:113496264-113496364 ACACCCACCCCATGCCACCCGCCCCGCCGAGCCATCACTACCTTGAGCGTAGGATGCTGAAAATCCCAG 562 TAAATCTGCTGATGCCAAATCCCTTCCCCA DTX1_chr12:113496364-113496464 TCTCCCTGCCTCACCTCCAGAAAAACAGGGCAGTCTAACCTTGTCCAGTTTAAGACTTGGATTCCAATGCA 563 GCCTCTGAGCAAGCTGTAGGGCCTTGAGC DTX1_chr12:113496509-113496609 GGGTAGATCAATATCTCTCACAGCTGAGTGAGGATTAAATAAAATTGTGCTCACTGAGCACAGAACCTAG 564 AACAGCAGTAGCATGGGATTGTAGAATAAG DTX1_chr12:113496609-113496709 GGCTTTACATGCACTTCCTCATTTGATTTTTCCCAAGAATCACAGGCAGTAAGTCTGTGTATTGTTGTATT 565 ATTATGAGTCCCATTTTATAGATGAAGAA DTX1_chr12:113496694-113496794 TTTATAGATGAAGAAACCGAGTCTCCCAGAAGCTGAGTGATTTAAACTCAGAGCTGGGATTTAAACCCAG 566 GCGGTTGAGTTCCAGAACCAAAGTTCTTAA DTX1_chr12:113496794-113496894 CTGGTATCCTATACTGGCTCCAAGTGTTGGTTTGTGGGGTGGAGTCGTGCTGGTGGTAATTAATTGGGGA 567 TGGGGGGCGTTGGTGGTGTTGATGGTGGGG DTX1_chr12:113496894-113496994 TGAGGTGGCAATGATGGAGGAGACAGTGTTAGCGGTTGTGTTGGTCGTGACTCAGTGATAGTATTGATGG 568 TGGTGGGGTCTTGGTGACAATGGAGGGATG DTX1_chr12:113497059-113497159 TGTTGGTGACATTGATAGTTGTGTTGGTGGTGGTGCTGGAAGTGGTGTGATGGGGTGGTCATGATGGAGA 569 AAATGAGAGAATGATGTTGGTGGCAGTCTT DTX1_chr12:113497159-113497259 CGTGGCCATGTGGTGTGGCTGGTAGCCCTGTGTGTGGCTGTTACTTAGTGGTATTGGTGATCCTGTTGTGG 570 TTGTAATGATGGTGATGTTGATGGTTGCG DTX1_chr12:113497259-113497359 TTGGTGGTAATGTGATGGCTGATGATGGAGATAAAATCGATGAGGTCCCACTCTCAGGCCTACTCTCTTTT 571 GTTCTGGAGATTTGTCATCGITGGGGAGA BCL7A_chr12:122458781-122458881 TGAAATGGCTGCTGTCGGGCTGTCATCTCCAGGCCCGGGGCGCTGACATTTGGGCCACTCTCGGTCTCCCT 572 CTTCATTCTGGGCGCGCATTAGCTCTGGT BCL7A_chr12:122458881-122458981 CCGGCCGGTTCCGCTGCAGCTGAACAGCAAGATGCGGCACCCAGGTTACCCTGATCATCGCAGATTTCTC 573 CCCGGGGCTCTGTTCTGAGGCCTCAAAACT BCL7A_chr12:122458981-122459081 GCTCCTTGTAGATGGGACCAGGGGTCATTTGGCGAGTAGCAGCGCCTGGTCTCAGTCTGGTACTGAAGTC 574 AGGAATGGCTTAAGGTGAAATCGTGGTCCT BCL7A_chr12:122459081-122459181 CTGGTGAAGCTCAGCGAAGACCCCCTCGCCTTGTTTATGACAAGAGAACTTCTGGGGGCGGGAGGAAGAG 575 TCCCTGTTACGATGCTGATCATCATTGAGC BCL7A_chr12:122459181-122459281 TTTTGCTGAGCAGAAAACTCTTTAGTACTCAAGGTCGAGAGTCTCTGGTGGTCTGCCTGGCACCAGGCAC 576 CTTCCTACAACCCTAGTTTTCCAAAAGGAC BCL7A_chr12:122459281-122459381 AAAGCCTGGGGCAGGCGACGTCCTAGCTCGCATTTGAACAGGGCCGCGGGCCAGCAGAGATGCGCGATG 577 CCCAACTCTTTCCAAGAGCACCTCGCGTCCC BCL7A_chr12:122459381-122459481 GAACCGGTGCCTTCAACTCGGAGAAGTCAAGAGACCCGCAAGAAACTTGCACGACTGCACCCGCCGCCGC 578 GCTCTGGGGGCTGGGCAGGGGCAGCTGGGC BCL7A_chr12:122459481-122459581 TGGCTCCCGGGGAACGCGACCCCCCCGCGCCCCGCAGACCGGCTGTCTCCCATGGACCCCTCGGCACCTG 579 CAGCCTCCGAGGAAGGGTCAGCGCGCGTGT BCL7A_chr12:122460811-122460911 GGGGGGCTCGGGCCAGCCGATGTTTTTGGCCAGAAGCCGTTCGTCCTGGGCCGCGGCTGCCTCTCCACAC 580 CGGGAGCTCGTGTTTGTTTTGCGGAGGGAG BCL7A_chr12:122460911-122461011 CTGTTGTTTTTGTTCTCTGCACCGGGGAGAGGGGGACTTGGTGGCGGCCGCGCGTGGTTTTCGGGATCAC 581 ATTAGCGTCCGCCCGGCGTGGCCCGGTCGA BCL7A_chr12:122461011-122461111 CATTAAGGGGATCGAACCTTTCCGCGGCCTCGTCGGGGTCTGCTCGGAATCGGCCCCTGGGCCAGGCCCG 582 AGGCGCAAGCAGATCGCCAGGTTGGGTCAG BCL7A_chr12:122461111-122461211 AGTTGTTGAAAACTCCCCGCTGCCTGATTTCAACTTTATTATTTTTTTCCCACGCCTTCACTGGGGTCCCGG 583 AGGGAGAGGAGCCGCCGCAACGCTGGCT BCL7A_chr12:122461316-122461416 AGTAGCGCCTCGGTCTCTAAAAGCCACTGGGGGCGAGCCTCCGGTGTGGCGGTGTCACAAGTTAGCTGTC 584 CTTTCTGAGTCAAACCCAACAAAAAAGGCA BCL7A_chr12:122461416-122461516 AGAGGAAAATCAATAAAGTCCACGTGCTCCCCGGCCTCCTATGGAAAGGGCTGGCTGCGATGGCCGGATG 585 CCCGGCCGTGGGCTGGGTTTGGCTCCAGTG BCL7A_chr12:122461516-122461616 GGACAAAGAATTTTCAGAACCGTGAGAAGGGGAGGCTTTCCAAAGTTGAGATCCAAGTCGTCGGTGTCTC 586 GGGAGCTCCCCTGGTACACAGGGTGCCCGG BCL7A_chr12:122461616-122461716 TGCCCGACTGGAGCCATTTAAAAATGGCAGAAACAGCTGCAGGCCAACACACACACGCTCGAAAACAAC 587 CCGCAGCCCCCTCTACTGTGGGATTCCCCGC BCL7A_chr12:122461716-122461816 GGGAAGCCCGGAGTTGCTCCCCTCCTTGCCTCAGCCCCTGTGCAAAGAAAGAACTGGTGTCTGTGCCTGG 588 GTCCCTTCTGTCGCCGGCCTGGAGGTTGGG BCL7A_chr12:122461816-122461916 AAACAGCCGGCAAGCCGCCTTTCTCTGCTCGAGGAGGCGTGGTGGGGCCTCCTACTCCAGGTTCCCGGCT 589 GGACAGAGGCTCCTGCACCCTGACAGCTGC BCL7A_chr12:122462001-122462101 GGAGGCCTTCCAGCCCGCTGACCCCGCGGGGACCAGGCCTGTAGTTGGAGCTTGAGGCGCTGTACCTCTG 590 CGCCTCCCTGGGTTTGGGCAAACAACACAT BCL7A_chr12:122462101-122462201 CGTGTCCTCTGAAGACCTCAGGCTTTGGGATCTCATGGTCCAGCTTCCAGTTCACTTCGTTGCCGCGACCT 591 TGGGCATATCATTGTCACTTCTCTAACCA BCL7A_chr12:122462201-122462301 TGGTGACCCGGGGTTTTGTGCTTGGCTTCCAGGTCCCCTCGGGTTATTGAGGACGATTGAGGTCATGCCTC 592 CGAGAGCACCGCGCCCTGGGCGCAGGAGG BCL7A_chr12:122462716-122462816 AATGCAAATTTAACAGGGCACCCTGTATTTTACCCAGAGGGAAGCCGAAGTGTTTGGCAGATCATTTGGC 593 CCCATGAGCCTTGGGTGGGTTTCTCCTCAG BCL7A_chr12:122462816-122462916 CCAAGTGACCGCTAAAATTACCCCCCCGACCCACCCACTGTCCCCTGATGCTTTCCCCACCCCCGGAAAA 594 AGCTGTGGCCTCCCTCTCATTTGGGGCAG BCL7A_chr12:122462916-122463016 GCTGCCTCCTGTTCTCTTTTTCTGGTGTTTCAGCAAGGCAGGCCAGTGGAGGTGACGTGACCAGAAGATG 595 GCTAAAGGGAAAACAAAATGGTGGGCCTCT BCL7A_chr12:122463031-122463131 CCAGGGTTTGGGGGCCCTGTGCTGGTGGAGGAGAGAAGACCCCAGGGCGATGGTAGGAGACGAAAGCTT 596 GGGCTGCAGCGTAAGCTTGGAGGCCCGCTGC BCL7A_chr12:122463131-122463231 GGTGGCTCACGCCTGTAATCCCAGAGCTTTGGGAGGCTGAGACAGGAGGATTGCTTTGAGCCCAGGAGTTT 597 GAGACCAGCCTGGGTCTCAAACCAAAAAAA KIAA0226L_chr13:46959165-46959265 TAAATATAATTTTAACGCCAATCTGAGAAAAATGACTTATTAGCTGTCTGATTTAGCAATGCTCTTAAC 598 CTCCCCCATGAAGGATGGTGTGAGAACGA KIAA0226L_chr13:46959265-46959365 ACAGAATTGTAGCACGTGTATCAGTCTGGTACACAATGTCCTATGAAGGTTAGCTTTATTATCACCAT 599 CATTATTATTGCAGAAAGACTTTCAGTTCAGA KIAA0226L_chr13:46959365-46959465 ATAAGACAGCACAGTTACAGAGACCTGGTTTTATTTTCCAGCTTCTTAACTGAGTCATCTTTCAGCTCCTT 600 TTAATTAAAAAGAAAAAACAATCAGAGAT KIAA0226L_chr13:46961680-46961780 TCAAAGACCTGGCAGAAATGACTTCCCAACCCCAGATGCCCCCAGCAGCAGTATTTAGCAGTCATACAAT 601 TGCCTGAAATGAAGAATGAGTAATCTGGAT KIAA0226L_chr13:46961780-46961880 GAGTCGGCCCTGAAATCGACCTGCAACTTACCCGGAACGTGAGCTGTCTCTCTCTGACCTCTGCTGGCTGC 602 TTCACCTGGAGTCTGAGTCCGACTCATGT KIAA0226L_chr13:46961880-46961980 AGCACTTCACTGTCCGCGTTAGTTTAGCCTTCACTGTCAGCAACTCGTCACCTTGTCCTCTTGCAGCGAAG 603 GTTTGGAATCCCATCACGGGTGTGCAGTG KIAA0226L_chr13:46961980-46962080 GTTAGTCCTGAGATCATGGTGGTGCTAGGAGAACCTGCCAACCAATACAGAAAGTTGTCACGAATAGAAA 604  CCTAAGCTCTGGCCGGGTGCGGTGGTTCAA ATP11A_chr13:113516229-113516329 AGATATACTGTTCTAGACATGTGTCTGAAAGGAATCCTGCAAATTCTGTCTTATTGAACAGGCATAAGGT 605 GTCACGTCAGGCGTAAGGTGTCACAGCAGG ATP11A_chr13:113516329-113516429 CGTAAGGCGTCACGTCAGGCGTAAGGTGTCACAGCAGGCGTAAGGCATCACGTCAGGCGTAAGGCGTCA 606 CGTCAGGCGTAAGGTGTCACAAGCTCGGTGA ATP11A_chr13:113516429-113516529 ACGTCAGGGGTGTGCCTTGTGTTCTCTGTTCGTTGCTTTCAGAAGCAGCAGCATGTGGCAGCATCTCTGTG 607 CCTATGACGATATTGCAGTGAATATGAGA SYNE2_chr14:64330252-64330352 AATTGTACATTTCAACAACATAAATAAGCTGTTCAAGACTGTCTCCCATGCCTCCAAAACAAATAAAAAC 608 CCCCCACAACTCAAATGCATATAAGCTGTT SYNE2_chr14:64330352-64330452 ACTATAGTATAATGGTGAGTTATAGGAGTGTATGATGGGATTGTTGATAGAATAATGCATATTAGAGCT 609 TTTAGTTCAAAAATTTGAGATAGTGATTCA SYNE2_chr14:64330452-64330552 GAAAGAAAAAAAGGAATGATTATCATGAATTCTGTTTATTAGAATTCTGTTTATTAAAGAGTTAAAGATA 610 TGTTTTATTTTTTTATCTTTATTATCATTA ZFP36L1_chr14:69258238-69258338 AATTCTAATGTTGGTCCCTTAGGATCAGCAGGGGGGGACCGGGAATCTGTAACTGCAACCACCCCACCGA 611 GAGGATTACAGGAACCCAGTCGAGAGCTGG ZFP36L1_chr14:69258338-69258438 TTCCCAACAATGAGGTTCATTTAAAAACTTCGTGAGGGGGGAGGGGGGCCAAAGAAAGAAATAGATCAAA 612 GAGCGGGAGAGTCGAGAAAAGAAGGAAGAAA ZFP36L1_chr14:69258438-69258538 TGTTGGGGAGCGCTGGGAGCCGGGCTGGCAAGTGGAGTTTGGGAATGTGCAGGGAGGGAAGGAAGCTGA 613 AAAATTCAAACTTTTTAAATGCTACTCTTCA ZFP36L1_chr14:69258538-69258638 GCTCCTCGGCGTCCCTGCACCCCAACCCTGCAGCCCTGGGGCGTTGGCAGCTGCACCAACAGGAGCAGCA 614 AGCTGGGAAAACAGAGCAACATGACCCGAC ZFP36L1_chr14:69258638-69258738 GTGTTAAGAGAAGGCAAAACACTTCAGCAATTAAAAAGTAGCCCAGCAGCTTCACCCTTTCAAATTGGGA 615 GGGGGAGGTTGGAAAGAAATTTAACAACAT ZFP36L1_chr14:69258738-69258838 CCATAGACTTTTGCTATGTACATTTAAACCGCAGTCCTGGAACATTCCGAGTTTAAAACTTGCTTTTTCAA 616 CACTGGCTGACAAGCAACATGTTTTAAGC ZFP36L1_chr14:69258838-69258938 AGCCCCCCATTAAATCCTTACTCGCGGGACTCTCGAGTTCAAGCCAGCATTTTGTCGCCACCTCCCCCCCC 617 AACCCCGCCCGCAATCGATGAGCCGCAAT ZFP36L1_chr14:69258938-69259038 GCCTCGGCAACACAGGTAAGCGGGTCAACCTGAATGCCTCTTTCACCCCAAAGTTTGCTGCACGATCGGC 618 TATCGCGGGAAGAAGCCCAACGGAGCTAGG ZFP36L1_chr14:69259038-69259138 GCGGACTCAAGCCCCACTGCAAACTTGTTCTGCAACATCTTTTTGAATCACAACTTGGCCTTTCTTCCTCG 619 CATATCCCCAGCTCCCCCCAAAGAGTGGA ZFP36L1_chr14:69259138-69259238 GGAAAACATTGTCCCGAGACTTCACTTCCCCGAGGGACCTCCCACTCCCAACCCCACGGGTGGGTAATGCC 620 GCTGGACAGACCTAGGGCGCAGACTGGGAA ZFP36L1_chr14:69259238-69259338 CCCGATCAGACCAGCAAACCTGGGATCCAGCAGCACGTTACGTAAAACAGGATCGCCCAAAACTTGTCCC 621 AATCCCAGCCCTCCCCCCGAAGCCCCCGGG ZFP36L1_chr14:69259338-69259438 CTGCCCTGCCAGGCAAACTTCGCCCCTCAAAACCCTGGCCTCCAGATTCACATGTAATCCCCGCCAGCAAC 622 TGTTGAAACTCAAAGGGTGGGAAGGACGG ZFP36L1_chr14:69259438-69259538 GGCCAAATTCCTTCAAACTTGGGAGAAATGCCGGAGGAGAAAAGAATCATCTCGCTGCACCACTTTCCCC 623 ATTGCCTTCCAAGACCCAAACTTTTGGGGG ZFP36L1_chr14:69259538-69259638 TTCTTTCTTAAGGCAAAAGAAAAAGACTTTTTGAAAAGCAAATGCTCCGCCCCCCTTTACCTTGCATAAAA 624 CTTCGCTCAAGTCGAAGATGGTGGCAGAC ZFP36L1_chr14:69259638-69259738 ACGAGGGTGGTGGTCATCCTGTGCGTTCGCGCGAGCCAGGGGCGAGGATCTGGTGTGTCGCGAAGGTCCC 625 GGTGCGGGGAAGGCGCAGCCTCTCCTGTCT FLRT2_chr14:84420586-84420686 TTATTTTTTTATATTAAGATTTATTCTAAATTTTGATTCTTCTAAATATAGTATATATTTAGTATATATATA 626 ATGCACCTCTCTTACCTAATGATCATTT FLRT2_chr14:84420786-84420786 CTAAATAATCATAACAACATCGAGTAAAACTATGTAATAACACATATTATTATTAAGATAAGTATAAGAA 627 ATATAATAATAAATTGTCCCTGTTCTAAAA FLRT2_chr14:84420786-84420886 GGTAATTATATAATGCTGAATGTGTCAGAGGCATTCGAACCAGAGTGACTCCATTTTGAGTGAGGGCTAG 628 GAAAATGAGGCTGAGACTTGCTGGGATGCA TCL1A_chr14:96179592-96179692 TTTAATTTTTATGCTTTCTTCAGTGTATGTTTGGAGAGAGTTTGAACATTTTTTGACTCTTTTTCATTGAGT 629 AAATCCAAATACTTGTAAAAGACTTATC TCL1A_chr14:96179692-96179792 TATTTCTTTAACAAAAACTTAACATGGATTAAGGACCCATCTTAGGCATCACACATTAAAAAAGTCAAT 630 ATTGATTCAATACCGGCGCTTATACTACGA TCL1A_chr14:96179792-96179892 CATCACTTGTTAAATTTGTTTTCTAAATAAAGCCCAGAGGTAGTGGAAAATACTTCACACTCTAGGCCAGT 631 GTTTGCTATGCCTGGTTGACCCTAAACTG TCL1A_chr14:96179892-96179992 TTGAGGGTTCTTTTTAAAAATACAGATTTCTGGGACCCACCTGAGATGATTCCGATAATCGGCCATATGGA 632 TGAGTCACTTAGAGATACCCATTTTTAAG TCL1A_chr14:96179992-96180092 GATTAGGACCCCGAAGCCCAGAAAATGCCTGCTGTAGTCAACATTATAGTCACACTCCACAGGCACTGGG 633 TCCACCCCTTTGACCGACATTCCTTTGCGG TCL1A_chr14:96180092-96180192 TTTTCCCACCCTTCTTCCCTGCCTGGAGAACTCCTATTCATCCTCCAGAGCCCGGCTCAAAGTGGCTTCATC 634 TGTGGGGATCCTCCCTGCCCCATAGTGA TCL1A_chr14:96180192-96180292 GTGCTCCTTGAGTCCTCGCCCTTCCTAGGGCATCCCAAGCTCCCAGGGGCTGCCCCTGCTGCCTCGCCATC 635 CGCTCCAAAGCTGGCTGTACCTCGATGGT TCL1A_chr14:96180292-96180392 TAAGGGCAGCCAGGCGTGCTGCTTCTCGTCCAAATACACGAACTTCTCCCAGGCCCACAGGCGGTCCGGG 636 TGGTCGGTGACTGCCTCCCCGAGTGTCGGG IGHA2_chr14:106048955-106049055 AGGAATCAGATTTCAAAATGAATATGTATAAGAAAAGAACCGGGGATCAGTGATCAGGAACAGGGATCC 637 ATGATCTGGTCCAGGGCTCAGCGGTCAGGAA IGHE_chr14:106068705-106068805 CCCTGGCCTGGAGTCCCAAGTCCCCAGCCCATCCTGCCCCTGGAGCCCAGTTTAGCTTGGTCTTGAAGTCT 638 GCTCTAGGTACCCCCAAAATCACAGTATC IGHE_chr14:106068805-106068905 CAGCCCCGCTCTGCCCACCGGGACAGCCAAGTTCAGCTGAGACTGGCCTACCGGGGGAGTCGCCCTCTGA 639 AGTTCACTCTAAGCCAGCCTGGTTCAGCCT IGHE_chr14:106068905-106069005 GGCCCAGGTCAGCCCAGGACCTCCCCTTGCAGGCAGCAAACTCTTATTTCAGTCCAGCCAGCTCAACCAG 640 CTTGCTTCTGACTCAGCTCCTCTTAGCCAG IGHE_chr14:106069045-106069145 TTAGCTCAGCAAAGCTGGACCTAAAGTAGCCACCTCACCCCAGCTTCATCCAGATGAATACAGTCCAGAT 641 CAGCTTAGTCAGTTAAGCCTAGCCTAGCTA IGHE_chr14:106069145-106069245 GTTAAATCCAGTTACGACCAGCTCAACTAATCCTGCTCAGGCCTGCTCAGCCCAGCCCAGCTGAACCCAGT 642 TTAGCCGAGGCCAGGCCAGCCCAGCTGAA IGHE_chr14:106069245-106069345 TACAGTTGCCCAGTCTAGCTCAGCCCAGTCCAGCACTGCCCAGTTTAGCTGAGCTCAGCCTGGCCCAGCCC 643 AGCTCATATCAGCCCATCTCAGCTGAACC IGHE_chr14:106069345-106069445 AGTTTGACCCAGTCTAACCCAACCCCGCTCAGCTGAACCCAGCCCAGCCCAGCCCAGCCCAGCCAAACCC 644 AGTTTAGCCTAGCTCAGCTCAGCCCATTTC IGHE_chr14:106071060-106071160 CCTGTCCTAGGGGTGGCAGGCAGTCTGCACCCAGCCTAGCCCTGCCCAGCGTGGGGTCTCTGACCTTCTTG 645 GTCTTGGGCCCAGCCAAGATTCCCAGCCC IGHE_chr14:106071190-106071290 TTCTAGCTTTCCTGTGTCCCCATGCAGGGAAGCGGATGCCTAGAGTCCACGCAGTGACCAAGAAGCTTGGT 646 TGATGCTGTGAGGGTGGCCCAGGAGTCCCC IGHG4_chr14:106095335-106095435 CACCTGCTGTCCTTGGTCCTGGCTGAGAGGAGGGCCCTACGGCCAGCTCTGCTGACCCTGCCCTGGGCTCT 647 GGTGATGCTGCCGGCCTGGACAAGCCCCT IGHG4_chr14:106095480-106095580 GAGCTCAGGTCGGTCGTGCCCATCCTGGCATCACCCCACAGCCGGTTCTGCCGCATCCCGTCATGTTCCTC 648 GTGCTCCCAGCCCGGTCGTCCTGGAGGCC IGHG2_chr14:106110675-106110775 TGAGCATGAGTGGGGCGGGCAGAGGCCTCCGGGTGAGGAGACAGATGGGGCCTGCCTTGCTGCCCTGGG 649 CTGGGGCTGCACAGCCGGGGTGCGTCCAGGC IGHG2_chr14:106110775-106110875 AGGAGGGCTGAGCCTGCCTTCCAGCAGACACCCTCCCTCCCTGAGCTGGCCTCTCACCAACTGTCTTGTCC 650 ACCTTGGTGTTGCTGGGCTTGTGATCTAC IGHG2_chr14:106110830-106110930 ACCAACTGTCTTGTCCACCTTGGTGTTGCTGGGCTTGTGATGACGTTGCAGGTGTAGGTCTGGGTGCCGA 651 AGTTGCTGGAGGGCACGGTCACCACGCTG IGHG2_chr14:106110950-106111050 GGACTGTAGGACAGCCGGGAAGGTGTGCACGCCGCTGGTCAGAGCGCCTGAGTTCCACGACACCGTCACC 652 GGTTCGGGGAAGTAGTCCTTGACCAGGCAG IGHG2_chr14:106112335-106112435 TGCTACACTGCCCTGCACCACCTCCACTCAGCTTCATTGTGCTGGTGGCCCTGGCTCCTGGCAGCCCATCT 653 TGCTCCTTCTGGGGCGCCAGCCTCAGAGG IGHG2_chr14:106112435-106112535 CCTTCCTGCCTAGGGTCCGCTGGGGCCAGCCCTGGGACCCTCCTGGTCTCAAGCACACATTCCCCCTGCAG 654 CCACACCTGCCCCTGCCTGAGAGCTCAGC IGHG2_chr14:106112535-106112635 CCCGAGCCCTGGAATGCCTTCCCTTCTCCATCCCAGCTCACCCTTGCCAACTGCTCAGTGGGATGGGCTCA 655 CACTCCCTTCCTGGCACCAGGAGGCTGCA IGHG2_chr14:106112635-106112735 CTGCACTTTCACCAGCCCTCAGCTGTCTGCTGCCAGCAACTACCCAGCTCCTGCCAAAATCTAGGAGCTGA 656 GTGATGCCTCCCACCGGCCCTGCTCACCT IGHG2_chr14:106112735-106112835 GTGGTTGCCTTGCCCTGAGCTCTAGTGCCTGTCCCCTGCTCGTCCTGCCTCCCACCGGCCCTGCTCACCTG 657 TGGCTGCTCTGCTCTGATTCCCTGAGGCT IGHG2_chr14:106112835-106112935 AAGCCTCAGTCCTGCTCACCTTCTGATGCTCTCCTCTGTCCCCTGAGCTCCAGGGGCTGTCCCCTGCTCGT 658 CCTGCCTCCTACCTGCCCCTGCTTACCTG IGHG2_chr14:106112935-106113035 AGGGTGCTCTGCCCTGGTGCTCTGAGCTCCAGGGGCTGTCCCCTGCTCCTCCTGCTTCCTACCAGCCCCTG 659 CTCACCTGTGGCTGCTCTGCCCTGGTCCC IGHG2_chr14:106113020-106113120 CTCTGCCCTGGTCCCCTGAGCTCCAGGGGCTTCCCCCTGCTCTTCCTGCCCCCACCAGCCCCTGTTCACCTT 660 CAGATGCCCTCCCCTGGTCCCCTGAAGT IGHG2_chr14:106113120-106113220 CCCAGAGCTGCCCCCTGTTCCTCCTGCCTCCCACCAGCCCGTGCTCACCTGCCGCTGCTCTGCCCTGGTCC 661 CGAGTTCCAGGGGCTGCACCCTGTTCGCC IGHG2_chr14:106113220-106113320 CACCTCCCACTAGCCATGCTCAGCTCTTGATGCTCTGTCCTGGTCCCCTGAGCTCCAGGAGCTGTCCCCTA 662 CTCGTCCTGCCACCCACCAGCCCCTGCTC IGHG2_chr14:106113320-106113420 ACCTGAGGCACCTGAGGCTGCTCTGCCCTGGTCCCCTGAGCTCCAGGGTCTTCCCCCTGCTCATCCTGCCT 663 CCCACCTGCCCTTGTTCACCTTCAGTTGC IGHG2_chr14:106113420-106113520 TCTGCCCTGGTCTGCTGAGCTCCAGGAGGTGCCCCCTGCTCCTTCTGCCCCCACCTGCCCTGCTCACCTGT 664 GGCTGCTCGGTCCTGGTACCCTGAACTCC IGHG2_chr14:106113450-106113550 GCCCCCTGCTCCTTCTGCCCCCACCTGCCCTGCTCACCTGTGGCTGCTCGGTCCTGGTACCCTGAACTCCA 665 ATGCCTGCCCCCTGCTCACTCTGCCCTCC IGHG2_chr14:106113550-106113650 CTCAACCCGGGCAGCAATGTCACTCAGGTCACTGTTGCCCCCCTGCCTGTCCTGGCACCCTCTGTCCAGGT 666 TTGGGCTGTTTTTCTGGCCTTCATTTTTTGT IGHG2_chr14:106113695-106113795 TGTCCAGTCAGGTCTCCCCAACAGAGCCCCTTGCCCTTGCCCATGTGCCCTCCTGGGTGAGCTCCCAGAT 667 CCTCCCGTCCCTGCACTGCTCCTGCTCTG IGHG2_chr14:106113795-106113895 GAAGCCTCTCCAGAACCTCAGCTCCTCAGTGGCCTCTGCTCTGCTGGGTCAGCTCCCTGAACGCACGGAG 668 CCTCACCCCTCCCCTCGCCCCAGGCCTGCT IGHG2_chr14:106113895-106113995 GCACTCTGGGCCTTTCTGGGCCTCCCTGGACTCTTCCCTCCTCCCATCTGTGCACTCAGCACAGCTCTCCCC 669 TCCACTCCGCTGCTGACCACAGCCCTGC IGHG2_chr14:106113905-106114005 CCTTTCTGGGCCTCCCTGGACTCTTCCCTCCTCCCATCTGTGCACTTCAGCACAGCTCTCCCCTCCACTCCGC 670 TGCTGACCACAGCCCTGCTCCCCGCCAG IGHG2_chr14:106114175-106114275 CCCACGGCCAGCACTGCTGACCCTGCCCTGGGCTCCAGTGATGCTGCTGGCCTGGACAAGCCCCTCCGTTC 671 ACCTGGGGCCTCTCCTCCTCCCTCGTTCT IGHG2_chr14:106114275-106114375 ACTGCCTCCTCAGCTCAGGTGGGTCCTGCCCATGCTGGCATCACCCCACGGCCGGCTCTGCCGCATCCCGT 672 CAGGTTCCTCGTGCTCCCAGCCTGGTCGT IGHG2_chr14:106114375-106114475 CATGGAGGCCTCAGTCAGCCTCTGGTGTGTCCTGCCCTGTTGGCTTGGAAGCCCCTGCCCACGGTCCCCGT 673 CATCTTGCACTGGGTGGGCGTTGGTGCCT IGHA1_chr14:106176375-106176475 AGCTCAGCCCAGCCTAGTCCAGCCCAGCCTAGCACAGGTCAGCCCAGCTTAGCTTAGCCCAGGTCAGTCC 674 AGCTCAGCTCAGTCCACTTAAGCTCACCCA IGHA1_chr14:106176475-106176575 GGTCAGCTCCGTCCAGCTCAGCCCAGCCTAGCCCAGCTTAGCCCAGCCCAGCCCAACACAGGTCAGCCCA 675 GCTCAGCCTAGCCCAGCCCAGCTCAGCACA IGHA1_chr14:106176575-106176675 GGTCACACCAGCTCAGTACACCTCAGGTCAGCCCAGACCAGTCCAACCCACCCCACCGCAGTCCAACCCA 676 GCCCAGCTCAGCTCATCCAAGCCTAGCTCA IGHA1_chr14:106176675-106176775 GCTCAGCCCAGCCCAGGTCAGCCTAGCCCAGCCGAACCCAGCTCAGCCCAGGTCAACCCAATTCAGCTCA 677 GCTCAGCCCAGGTCAACCCAACCAAGCTCA IGHA1_chr14:106176775-106176875 GCTCAGCCTAGCCCAGTCCAGCTCAGCCCAGCTCAGCTCAGCCCAGTCCAGCTCAATCCACCTAAGCTCAC 678 CCAGCTCAGCCCAGTCTGGCTCAGCTTAG IGHA1_chr14:106176875-106176975 GTCAGCCCAGCCCAGCCTAGCCCAGATCAGTCCAGCTTAGCCCAGCCCAGGTCAGCCCAGCCCAGGTCAG 679 CCCAGCTCAGCTCAGCCCAGCCCAGCTCAG IGHA1_chr14:106176985-106177085 CCCAGCCCAGCTCAGCGCAGCCCAGCCTAGCTCACCCCAGCCAGGTCCAGCTTAGCCCAGCTCAGCCCAG 680 CCCAACTCAGCTCAGCCCAGCTCAGCCCAA IGHG1_chr14:106211960-106212060 TCTGAGCTCCAGGGGCTGCCCACCTGCTCCTCCTGCTTCCCACCGGCCCTGCTCACCTGCAGCTGCTCTGC 681 CCTGGCTCCCTGAGGCTGAGCCTCAGTCC IGHG1_chr14:106212060-106212160 TGCTCACCTTCTGATGCTCTCCCCTTGTCCCCTGAGCTCCAGGGGCTGACCCCTGATCTTTCTGCTTCCTAC 682 CTGCCCCTGCTCACCTGTGGCTGCTCTG IGHG1_chr14:106212160-106212260 CCCTGATCCCCTGAGCTCCAGGAGCTGCCTCCTGCTCTTCCTGCCTCCCACCTGCCCCTGCTCACCTGCAG 683 ATCTGCCCTGGCTCTCTGAGGTCCAGGGG IGHG1_chr14:106212260-106212360 CTGCCCCCTGCTCGCCCACCTCCCACCAGCCATGCTGACGTTGTGATGCTCTGCCCTGGTCTCCTGAGGTC 684 CAGGGGCTGTCCCCTGCTTATTCTGCCTC IGHG1_chr14:106212360-106212460 CCACCTGCCCCTTCTCACCTGAGGCTCTTCTGCCCTGGTGGCTGAGCTCCAAAAGCTGCCCACTTGCTCC 685 TCCTGCTTCCTACCAGCCCCTGCTCTCCT IGHG1_chr14:106212460-106212560 GTGGATGATCTGCCCTGGCTCTCTGAGCTCCAGGGGCTGCCCACCTGCTCCCCATGCTTCCCACCTGCCCC 686 TGCTGACCTGCGGCTGCTCTGCCTTGGCT IGHG1_chr14:106212560-106212660 CCCTGAGCTCCAGGAGCTTCCCCCTGCTCATCCTGCCCCCCACTGGCCCCTGTTTACCTTCAGATGCCCTC 687 CCTGGTCCCCTGAAGTCCAGGAGCTGCCC IGHG1_chr14:106212660-106212760 CCTGTTCCTCCCGCCTCCCACCAGCCCGTGCTCACCTGCGGCTGCTCTGCCCTGGTCCCCTGAGTTCCAGG 688 GGCTGCCCCCTGCTCGCCCACCTCCCACT IGHG1_chr14:106212760-106212860 AGCCATGCTCACCTCCTGATGCTCTGTCCTGGTCCCCTGAGCTCCAGGGGCTGCCCCCTGCTTGCCCATCT 689 CCCACTAGCCATGCTCACCTTCTGATGCT IGHG1_chr14:106212860-106212960 CTGCCCTGGTCCCCTGAGCTCCAGGGTCTTCCCCCTGCTCATCCTGCCGCCCACCAGCCCCTGCTCACCTG 690 AGGCTGCTCTGCCCTGGTCCCCTGAGCTC IGHG1_chr14:106212870-106212970 CCCCTGAGCTCCAGGGTCTTCCCCCTGCTCATCCTGCCGCCCACCAGCCCCTGCTCACCTGAGGCTGCTCT 691 GCCCTGGTCCCCTGAGCTCCAGGAGGTGC IGHG1_chr14:106212980-106213080 TTCTGCCCCCACCTGCCCTGCTCACCTGTGGCTGCTTGGTCCTGGTCCCTGAGCTCCAATGCCTGCTCCCTG 692 CTCACTCTGCCCTCCCTCAACCCGGGCA IGHG1_chr14:106213080-106213180 GCAATGTCACTCAGGTCACTGTTGCCCCCCTGCCTGTCCTGGCACCCTCTGTCCAGGTTTGGGCTGTTTTT 693 CTGCCCTCATTTTTGATTTTGCAGCACTT IGHG1_chr14:106213125-106213225 CCTCTGTCCAGGTTTGGGCTGTTTTTCTGCCCTCATTTTTCATTTTGCAGCACTTCGCGTGTTCCCTATGCT 694 GTGGAGCAGCCCCAGTGTCCAGTCAGGT IGHG1_chr14:106213210-106213310 AGTGTCCAGTCAGGTCTCCCCAACAGAGCCCCTTGCCCTTGCCCATGTGCCCCTCCTGAATGAGCTCCCGG 695 ATCCTCCTGTCCCTGCACTGCTCCTGCTC IGHG1_chr14:106213310-106213410 TGGAAGCCTCTCTGGAACCTCAGCTCCTCAGTGGCCTCTGCTCTGCTGGGTCAGTTCCCTGAACGCACGGA 696 GCCTCAGCCCTTCCCCTCGCCCCAGGCCT IGHG1_chr14:106213410-106213510 GCTGCACTCTGGGCCTTTCTGGGCCTCCCTGGACTCTTCCCTTCTCCCGCCCGTGCACTCAGCACAGCTCT 697 CCCCTCCTCTCCACTGCTGACCACAGCCC IGHG1_chr14:106213510-106213610 TGCTCCCCGCCAGCAGGTGCCCCAACCCCATCAGCTGGCTCTGAGCCCAGCCCCTGTGCCTCCCCTGTCCC 698 TGCCTCTGCCTCTGGGCTCCTTGGCTTCC IGHG1_chr14:106213660-106213760 ACCTGCTGTCCTTGGTCCTGGCTGAGAGGAGGGCCCCACGGCCAGCACTGCTGACCCTGCCCTGGGCTCC 699 GGTGATGCTGCCGGCCTGGACAAGCCCCTC IGHG1_chr14:106213760-106213860 CGTTCACCTGGGGCCTCTCCTCCTCCCTCGCTCTGCTGCCTCCTGAGCTCAGGTCGGTCGTGCCCATCCTG 700 GCATCACCCCACGGCCGGCTCTGCCGCAT IGHG1_chr14:106213860-106213960 CCAGTCATGTTCCTCGTGCTCCCAGCCCGGTCGTCCTGGAGGCCTCAGTCAGCCTCTGGTGTGTCCTGCCC 701 TGTTGGCTTGGAAGCCCCTGCCCACGGTC IGHG1_chr14:106213960-106214060 CCCGTCGTCTCGCACTGGGTGGGCATCGGTGCCTGAAGGCTGCCCACCTCCCCCGTGCTGGCTCCGCTTGG 702 GCCTCCATGTGGGGCCGGCCTCGACCCCA IGHG3_chr14:106239250-106239350 CACTGCACTTTCACCAGCCCTCAGCTGTCTGCTGCCGGCAACTACCCAGCTCCTGCCAAAGTCTAGGAGCT 703 GCGTGCTGCCTCCCACCGTCCCTGCTCAC IGHG3_chr14:106239350-106239450 CTGTGCCTGCTCTGCCCTGGTGCTCTGAGCTCCAGGAGATGCCCCCTGCTCCTCCTGCCCCCCACCTGCCC 704 CTGCTCACCTGCAGCGGCTCTGCCCTGGT IGHG3_chr14:106239455-106239555 GAGCTCCAAGAGCTGCCCCCTGCTCCTCCTGTCCCCTGACCCTGCTCCTGTTTGCCTATGGCTGCTCTGCC 705 CTTGTCCCCTGAGCTCCAGGAGCTGCCCC IGHG3_chr14:106239555-106239655 TGCTCATTCTGCCGCCCACCTGCCCCTGTTCACCTGTGGCTGCTCTTCCCTGGTCCTCTGAGCTCCATGAGC 706 TGCCCCTTGCTCCTCCTGCTTTCCACCA IGHG3_chr14:106239655-106239755 GCCCCTGCTCACCTACCGATGATCTTCCCCGGCTCTCTGAGCTCCAGGGGCTGCCCACCTGCTACCCCTGC 707 TTCCCACCAGCCCTGCTTACCTGCAGCTG IGHG3_chr14:106239755-106239855 CTCTGCCCTGGCTGGCAGAGCTGCAGAAGCTGCCCCCTGCTCTGCAACCTCCCACCGGCCCTTCTCATCTT 708 CTGATGTTCTCCCCTGTTCCCTGAGCTCC IGHG3_chr14:106239855-106239955 AGGAGCTGCCCCCTACTCGTTCTACCTCCCACCAACCCGTGCTCACCTGCGACTGCTCTGCCCTGGTCCCC 709 TGAGCTCCAGGGGCTGCCCCCTGCTCGCC IGHG3_chr14:106239990-106240090 TGCCCTGATCCCCTGAGCTCCAGGACTGCCCCCTGCTCGTCCTGCCCCTCACCTGCCCCTGCTCACCTGAG 710 GCTGCTCTGCCCTGGTCCCCTGAGCTAAA IGHG3_chr14:106240090-106240190 GGGGCTGCCCCTTACTCATCCTGCCTCCCACCAGCCCCTGCTCACCTTCTGATGCCCTCCCCTGGTCCCCTG 711 AGCTCCAGGGGCTGCCCCCTGCTCGTCC IGHG3_chr14:106240170-106240270 GGGCTGCCCCCTGCTCGTCCTGCCTCCCACCAGCCCCTGCTCACCTGCAGCTACACTGCCCTGGTTCCCTG 712 AGCTCCAGGAGCTGCCACCTGCTTGTCCT IGHG3_chr14:106240270-106240370 GCCTTCCACCAGCCCCTGCTCACCTGCAGCTACACTGCCCTGGTTCCCTGAGCTCCGGGAGCTGCCGCCTG 713 CTTGTCCTGCCTCCCACCAGCCCCTGCTC IGHG3_chr14:106240370-106240470 ACCTGTGGCTACACTGCCCTGGTGCCCTGAGCTCCAGGAGCTGCCCCCTGCTTGCCCATCTTCCACTGAGC 714 CCTGCTCACCTGCAACTGCTCTGCCCTGG IGHG3_chr14:106240470-106240570 CTCTATGAGCTCCAGGGGCTGCCCCCTGCTGGTCCTGCCTCCCACCTGCCCTGCGCACCTGTGGCTGCCTTC 715 CTCACCTGTGGCTGCTCTGCCCTGGTCCC IGHG3_chr14:106240570-106240670 CTGAGCTCCAGGGTCTTCCTCCTGCTCATCCTGCCCCTCCACCGGCTCCTGTTCACCTTCACATGCTCTCCC 716 GTGGTCCCCTGAGCTCCAGGAGCTGCCC IGHG3_chr14:106240670-106240770 CCTGTTCTTCCTGCCTCCCACCTGCCCTGTGCACCTGTGGCTGCTTGGTCCTGGTCCCCTGAACTCCAATGC 717 CTGCCCCCTGCTCACTCTGCCCTCCCTC IGHG3_chr14:106240770-106240870 AACCTGGGGCAGCAACGTCACTCGGTCCACTGTTGCCCCCCTCCCTGTCCTGGCACCCTCTGTCCAGGTTT 718 AGGCTGTTTTTCTTGCCTCATTTTTGTTT IGHG3_chr14:106240820-106240920 TGGCACCCTCTGTCCAGGTTTAGGCTGTTTTTCTTGCCTCATTTTTGTTTTTGCAGCACTTGGCGTGTTCCC 719 TATGCTGTGGAGCAGCCCCAGTGTCCAG IGHG3_chr14:106240915-106241015 TCCAGTCAGGTCTCCCCAACAGAGCCCCTTGCCCTTGCCCATGTGCCCCTCCTGGATGAGCTCCCGGATCC 720 TCCCGTCCCTGCACTGCTCCTGCTCTGGA IGHG3_chr14:106241015-106241115 AGCCTCTCCAGAACCTCAGCTCCTCAGTGGCCTCTGCTCTGCTGGGTCAGTTCCCTGAACGCACGGAGCCT 721 CAGCCCCTCCCCTCGCCCCAGGCCTGCTG IGHG3_chr14:106241115-106241215 CACTCTGGGCCTTTCTGGGCCTCCCTGGACTCTTCCCTCCTCCCGCCCGTGCACTCAGCACAGCTCTCCCCT 722 CCTCTCCGCTGCTGACCACAGCCCTGCT IGHG3_chr14:106241200-106241300 GACCACAGCCCTGCTCCCGGCCAGCAGGTGCCCCAACCCCATCAGCTGGCTCTGAGCCCAGCCCCTGTGC 723 CTCCCCTGTCCCTGCCTCTGCCTCTGGGCT IGHG3_chr14:106241345-106241445 GCTCTGCTCCCAGCTCACCTGCTGTCCTTGGTCCTGGCTGAGAGGAGGGCCCTACGGCCAGCTCTGCTGAC 724 CCTGCCCTGGGCTCCGGTGATGCTGCCGG IGHG3_chr14:106241445-106241545 CCTGGACAAGCCCCTCGGTTCACCTGGGGCCTCTCCTCCTCCCTCTCTCTGCTGCCTCCTGAGCTCAGGTC 725 GGTCATGCCCATCCTGGCATCACCCCATG IGHG3_chr14:106241545-106241645 GCTGGCTCTGCCCCATCCCGTCATGTTCCTCACACTCCCAGCCCGGTCGTCCTGGAGGCCTCAGTCAGCCT 726 CTGGTGTGTCCTGCCCTGTTGGCTTGGAA IGHM_chr14:106318100-106318200 GGGTAGAGCCCACCTCGTGGCCTGCAAGCCAGCCAGCCCCTGCCGGTCGAGAAGGAAGCCTGTGTGAGA 727 GCACACAACTGGAGGCCGGGCGGGGAAGAGA IGHM_chr14:106318200-106318300 AACACGTGCCAACAGGCCACGCAGGCCAGGACCCCAGACCCGGAGGCAGCGCCCCTTTGAGTTCCTCTCT 728 CTGGTCTCCGATGTTCTTCTGTTGGGATCA IGHM_chr14:106318300-106318100 TTTCACCTACAGGCAACAGAGACAGTGTGAAATGCTTTCCCTGTGGTCGGGAAGGGAGCCGGGGCAGAG 729 ATGACCCAGTGGGGTGGTGTGGGGGCCTCCG IGHM_chr14:106322055-106322155 CTTTGCACACCACGTGTTCGTCTGTGCCCTGCATGACGTCCTTGGAAGGCAGCAGCACCTGTGAGGTGGCT 730 GCGTACTTGCCCCCTCTCAGGACTGATGG IGHM_chr14:106322155-106322255 GAAGCCCCGGGTGCTGCTGATGTCAGAGTTGTTCTTGTATTTCCAGGAGAAAGTGATGGAGTGGGGAAGG 731 AAGTCCTGTGCGAGGCAGCCAACGGCCACG IGHM_chr14:106322255-106322355 CTGCTCGTATCCGACGGGGAATTCTCACAGGAGACGAGGGGGAAAAGGGTTGGGGCGGATGCACTCCCT 732 GAGGACCCGCAGGACAAAAGAGAAAGGGAGG IGHM_chr14:106322905-106323005 ACTCCAGCTACCCTGAAGTCTCCCCAGGCAGACAACCCAGGCCTGGGAGTGAGTATAGGGAGGGTGGGT 733 GTGATGGGGAACGCAGTGTAGACTCAGCTGA IGHM_chr14:106323005-106323105 GGCTATCCATCTATGTCCAACAAGATCATGAAGATTGGCCCAGTGCCATGTCCTCCAGTTCATCCCAGCCC 734 AGGCCAGCTCAATCCAGTTCATCCCAGCC IGHM_chr14:106323105-106323205 CAGGCCAGCTCAATCCAGCCCAGCCCACCCCACCCCAGCTCAGCAAAGCCAAGCTCAGCTCAGCCCAACT 735 CAGATGAGCTCAGACCAGCTCAGCCCAGCC IGHM_chr14:106323470-106323570 CAGCTCAGCTCAGCCCAACCCAGCCCAGCTCGCTCAACCTTGCTCGGCTCAGCTTAGCCCAGCCCAGCCCA 736 GCTCAATCCAGCCTGGCTCAGCCCAGCCC IGHM_chr14:106323570-106323670 AGCCCAGTTTGGCTCAACCCAGCTTGGCTCAGCCCAGGTCAGCCTGGCTCAACTCAGCCCAGCCCAGCCC 737 AGCTCTGCTCAACCCAGCTCTGCTCAACTC IGHM-chr14:106323805-106323905 AGCCCAGCTCATCCCAGCTCAGCCCAGCCCAGCCTAGCTTAGCTCAACCCAGCTCAGCTCAGTTCAGCTCA 738 GCCCTGCTCAGCACAGCACAGCACAGCCC IGHM_chr14:106324010-106324110 AGCCCGGATCGGCTCAACCCAGCTTAGCTCAGCCCAGGTCAGCCCAGCTTAACTCAGCCCAGGTCAGCCC 739 AGCTTAACTCAGCCCAGCCCAGCCCAGCTC IGHM_chr14:106324155-106324255 TCAGCCCAGTTCAGCCCAGCTCAGCCCAGCCCAGCCTAGCTTGGCTCAACACAGCTCAGCTCAGCCAGCC 740 CAGACCAGCTCAGCTCAGCCCAGTCCAGCT IGHM_chr14:106324290-106324390 CAACCCAGCCCAGCCCAACCCAGCTCGGCTTAACCCAGCTCGGCTCAGCCCAGATCAGCCTGGCTCAACT 741 CAGCCCAGCCCAGCTCAACCCAGCCCAGTT IGHM_chr14:106324490-106324590 CAGCTCAGCTGAGCCCAGCCCAGCCCAGTCCGGCTCAGCTCAGCCCCGCCCCACTCAGCCCAGCTCAGCT 742 CAGCCCAGCTCAGCCCAGCTCAGCTTAGCC IGHM_chr14:106324750-106324850 CAGCCCAGATCATCCCAGCTCAGCTCAGCTCAGCTCGGCTTAGCCCAGCTCAACCTGGCCCAGCCTGGTCC 743 AGGTCAGCCCAGCCTGGACCACCCAGCCC IGHM_chr14:106324850-106324950 AGCTCAGCTCAGCCCAGCTCATCCTGGTTCAGCTCAGCTCAACCCGGCTCAGCCCAGGTCTGCTCAACCCA 744 GCCCAAATCAGCTCAGCCCAGCCCAGGTC IGHM_chr14:106324950-106325050 ATCCCAGCTCAGCCCAGCACAGCCTACTTCAGCTCAGCTCAGCTCAGCGCTAGGTCAGCTCAGTTGAGGTC 745 AGCTCAACTCAGCCCAATCCAGCCTGGCTC IGHM_chr14:106325050-106325150 AGCCCAGCTCACCCTAGCTCAGCTTAGCTCAGCCCAACTCAACCCAGCCCAGCCTTGCCCAACCCAGCTCA 746 GCTCAGCCCACCCCAGGTTAGCCCAGCCC IGHM_chr14:106325150-106325250 AGCCTCGGCTTAGCTCTGCTCAGCTCGGCCCTGCTCGCCTCAGCCCGTTCAGCCCAGTTCAGCTCAGCTCA 747 GCTCAGCCCAGCTCAGCCCAGCCCTGGTT IGHM_chr14:106325250-106325350 AGCTCAGCCCAGCTAAGCTCAGCTCGGCTTGGCTCTGCTGAGCTTGGCCCAGCTTGGCTTAGCCTGATACA 748 ACCTGCTCAGCCCAGTTCAGCTCGGCTCA IGHM_chr14:106325360-106325460 GCCCAGCGTAGCTCAGCTCAGCTGAGCCCAGCCCAGGTTAGCTCAGCCCCAGTCCAGGTCAGCTCAACTC 749 AGCCCAAACCAGCCTGGCTCGGCCCAGCTC IGHM_chr14:106325460-106325560 ACCCTAGTTCAGCTTAGCTCAGCCCAGCCCAGCCCTGCCCAACCCAGCTCAGCTCAGCCCAGCCCAGGTTA 750 GCCCAGCCCAGCCTCGGCTTAGCTCTGCT IGHM_chr14:106325515-106325615 AGCCCAGCCCAGGTTAGCCCAGCCCAGCCTCGGCTTAGCTCTGCTCAGCTCGGCCCAGCCCAGGTTAGCC 751 CAGCCCAGCCTCGGCTTAGCTCTGCTCAGC IGHM_chr14:106325615-106325715 TCGGCCCTGCTCGCCTCAGCCCGTTCAGCCCAGTTCAGCTCAGCTCAGCTCAGCCCAGCTCAGCCCAGCCC 752 TGGTTAGCTCAGCCCAGCTAAGCTCAGCT IGHM_chr14:106325715-106325815 CGGCTCAGCTCTGCTGAGCTCGGCCCAGCTTGGCTCAGCCCGACACAGCCTGCTCAGCCCAGTTCAGCTC 753 GGCTCAGCCCAGCCCAGCCCAGCGTAGCTC IGHJ6_chr14:106325820-106325920 AGCTGAGCCCAGCCCAGGTTAGCTCAGCCCCAGCCCAGCTTAGCTCAGCCCAGCTCAGCTCTGCCCAGGT 754 TAGCTCAGCCCCAGTCCAGGTTAGCTCAGC IGHJ6_chr14:106325920-106326020 CCAGCTCAGCTCTGCCCAGGTTAGCTCAGCCCCAGTCCAGGTTAGCTCAGCCCAGCTCAGCCTTGCCCAGG 755 TTAGCTCAGCCCAGCTAAGCTCAACTTCG IGHJ6_chr14:106326020-106326120 CTCAGCTCAGCCTAGCTTGGCTCAGCCCAGCACAGCACGCTCAACCCGGTTCAGCTTGGCTCAGCCCAGC 756 CCAGCCCAGCCTAGCTCAGCTCAGCCCCGC IGHJ6_chr14:106326245-106326345 CCAGCTCAGCGCAGCCCAGCTTAGCTCAGCTCAGCCTAGCCTTGCTCGGCTCAGCTCAGCTCAGCCCAGCT 757 CAGCCTAGCCTGCTCAGCCCAGCTCAGC IGHJ6_chr14:106326450-106326550 TCAGCCCAGCCCTGCCCAGCTCAGCCCAGCTTAGTGCAGCCAAGCCCAGCTCAGCTCAGCTCACCTGGTG 758 CAACTTAGCCCAGCTCAGCTCAGCTCAGCT IGHJ6_chr14:106326550-106326650 CAACCCAGTTCAACTCAGCCCAGTTCAGCTCAGCTCAGCCCAGTTCAGCCTTGTTTAGTCTAGGTCAGCTT 759 AGGTCAGTTTTGCCCATCTGAGTCCATTT IGHJ6_chr14:106326650-106326750 CTGAAAGCTGGATGGAGTTGTCATGGCCAGAAATGGTCAGCCCACCAGACCTGCTTGTCTCAGCTAAAGC 760 CATCTCATTGCCAGGTTCCTGCACAGCCAG IGHJ6_chr14:106326750-106326850 GCTGGCTTCCATCTTTTGTCTCCCTCTACTTGATACCCCAGTTGCCTGCAGTCCTGCCCCAGCGCCACCTGG 761 GTTTTGGTTCCAAAGCATTACCAATCAT IGHJ6_chr14:106326850-106326950 TACCACCCTCCACTACCTGGGTGGAATATTTCTTTGCTGCTTTAAAGTCATTAAAACATCTTGAGAATGAG 762 ACCAAGAATTTAGGAGCCTGTGCTGTGAT IGHJ6_chr14:106326950-106327050 AAAAATGAGCAGGTCCCCTTGCTCTAGAAGTGGCAGCATATCTTCTGCACCAAGAGGAGGGTATTGAGAT 763 GCTCAGAGCCTCCACCTTCCCGGAGCATCC IGHJ6_chr14:106327050-106327150 CCTCCCTTCTGAGTCTGCAGTAAACCCCTGCCTTTAAATTCCCTCTAGATAACAGTCATCATTGGAAACAA 764 CCAAGAAATGCATTTTATCTGAATTTGCC IGHJ6_chr14:106327150-106327250 ACTTAAAATTCTGCCATTTACCATAAATCGCTTTGGAAGGCATGGGCTACTTTTCAAGGGTGCGATGATGA 765 CCTACAGTCAATGACTTAGACAAGGGCGAT IGHJ6_chr14:106327250-106327350 GCCAGTGGGGCTTGGTATGTTCTCAAGCATCATTACCCATGCCATCCCCATTCAGAGGTTGTGGAGCAGCT 766 CGTGCGACCTCTCCTTCAAATGGGCTTTA IGHJ6_chr14:106327350-106327450 GGGAAAGTTAAATGGGAGTGACCCAGACAATGGTCACTCAAAAGACTCACATAAATGAGTCTCCTGCTCT 767 TCATCAAGCAATTAAGACCAGTTCCCCTTC IGHJ6_chr14:106327450-106327550 TAGTGGAAATAAGACGTCAAATACAAAGTTTTAAGAGAAGCAAATGCAGCAGCGGCGGCTGCCTGTCTCT 768 TACCATGTCGGGCGCCTGGTCACTGCGAGC IGHJ6_chr14:106327550-106327650 CTTGCAAAGCTTTGGCATGGAATCATTCCTCCAAGTCCATTAACAAGGGCTGGGGCCTGAGCAGCCAGTC 769 GGCCCGGCAGCAGAAGCCACGCATCCCAGC IGHJ6_chr14:106327650-106327750 TCTGGGTAGTCCGGGGAGACCCAAAGCCCAGGCCGGGCCTGGCAGCCACCCTCCCAGAGCCTCCGCTACG 770 CCAGTCCTGCTGACGCCGCATCGGTGATTC IGHJ6_chr14:106327750-106327850 GGAACAGAATCTGTCCTTCTAAGGTGTCTCCACAGTCCTGTCTTCAGCACTATCTGATTGAGTTTTCTCTT 771 ATGCCACCAACTAACATGCTTAACTGAAA IGHJ6_chr14:106327850-106327950 TAATTCAGGATAATGATGCACATTTTACCTAAAACTTATCCTAAAGTGAGTAGTTGAAAAGTGGTCTTGA 772 AAAATACTAAAATGAAGGCCACTCTATCAG IGHJ6_chr14:106327950-106328050 AATATCAAAGTGTTTTCTCCTTAATCACAAAGAGAAAACGAGTTAACCTAAAAAGATTGTGAACACAGTCA 773 TTATGAAAATAATGCTCTGAGGTATCGAAA IGHJ6_chr14:106328050-106328150 AAGTATTTGAGATTAGTTATCACATGAAGGGATAACAAGCTAATTTAAAAAACTTTTTGAATACAGTCAT 774 AAACTCTCCCTAAGACTGTTTAATTTCTTA IGHJ6_chr14:106328150-106328250 AACATCTTACTTTAAAAATGAATTGCAGTTTAGAAGTTGATATGCTGTTTGCACAAACTAGCAGTTGATAA 775 GCTAAGATTGGAAATGAAATTCAGATAGTT IGHJ6_chr14:106328250-106328350 AAAAAAAGCCTTTTCAGTTTCGGTCAGCCTCGCCTTATTTTAGAAACGCAAATTGTCCAGGTGTTGTTTTG 776 CTCAGTAGAGCACTTTCAGATCTGGGCCT IGHJ6_chr14:106328350-106328450 GGGCAAAACCACCTCTTCACAACCAGAAGTGATAAATTTACCAATTGTGTTTTTTTGCTTCCTAAAATAGA 777 CTCTCGCGGTGACCTGCTTCCTGCCACCT IGHJ6_chr14:106328450-106328550 GCTGTGGGTGCCGGAGACCCCCATGCAGCCATCTTGACTCTAATTCATCATCTGCTTCCAGCTTCGCTCAA 778 TTAATTAAAAAAATAAACTTGATTTATGA IGHJ6_chr14:106328550-106328650 TGGTCAAAACGCAGTCCCGCATCGGGGCCGACAGCACTGTGCTAGTATTTCTTAGCTGAGCTTGCTTTGGC 779 CTCAATTCCAGACACATATCACTCATGGG IGHJ6_chr14:106328650-106328750 TGTTAATCAAATGATAAGAATTTCAAATAdTGGACAGTTAAAAAAATTAATATACTTGAAAATCTCTCAC 780 ATTTTTAAGTCATAATTTTCTTAACCATT IGHJ6_chr14:106328750-106328850 TTTCTCAGAAGCCACTTCAAACATATCCTGTCTTTTAACAGTAAGCATGCCTCCTAAGATAAACAATCCTT 781 TTCTCTTGGAAACCAGCTTCAAGGCACTG IGHJ6_chr14:106328850-106328950 AGGTCCTGGAGCCTCCCTAAGCCCCTGTCAGGACGGCAGCCACCGTTTCTGGGCTACCCCTGCCCCCAACC 782 CTGCTCTCATCAAGACCGGGGCTACGCGT IGHJ6_chr14:106328950-106329050 CCCTCCTGGCTGGATTCACCCACTCCGACAGTTCTCTTTCCAGCCAATAAAGAATTTAAGATGCAGGTTGA 783 CACACAGCGCACCTCATAATTCTAAAGAA IGHJ6_chr14:106329050-106329150 AATATTTCACGATTCGCTGCTGTGCAGCGATCTTGCAGTCCTACAGACACCGCTCCTGAGACACATTCCTC 784 AGCCATCACTAAGACCCCTGGTTTGTTCA IGHJ6_chr14:106329150-106329250 GGCATCTCGTCCAAATGTGGCTCCCCAAGCCCCCAGGCTCAGTTACTCCATCAGACGCACCCAACCTGAGT 785 CCCATTTTCCAAAGGCATCGGAAAATCCA IGHJ6_chr14:106329250-106329350 CAGAGGCTCCCAGATCCTCAAGGCACCCCAGTGCCCGTCCCCTCCTGGCCAGTCCGCCCAGGTCCCCTCGG 786 AACATGCCCCGAGGACCAACCTGCAATGC IGHJ6_chr14:106329350-106329450 TCAGGAAACCCCACAGGCAGTAGCAGAAAACAAAGGCCCTAGAGTGGCCATTCTTACCTGAGGAGACGG 787 TGACCGTGGTCCCTTTGCCCCAGACGTCCAT IGHJ6_chr14:106329450-106329550 GTAGTAGTAGTAGTAGTAATCACAATGGCAGAATGTCCATCCTCACCCCACAAAAACCCAGCCACCCAGA 788 GACCTTCTGTCTCCGGGCGTCACATGGAAG IGHJ6_chr14:106329550-106329650 CTGACTGTCCGTGGCCCTGTCCTGCCCTTCTCATGGAACCCTCTGCTGGCCTCCCACGTACCCCACATTCT 789 GGCCTGACCCCTCAGAAGCCAGACCACTG IGHJ6-chr14:106329650-106329750 TCGGCCTGGGAAGTCCAACTGCAAGCAGACGGCTGCTAAGTCACCCCCAGGAGTCCAAAAACCCCGGGG 790 GGCACCCGTCCCAGAGAGCGGGTGCCTTGGA IGHJ5_chr14:106329750-106329850 GCGGGACAGAGTCCCACCACGCAATCATCACGACAGCCCCTGAGAATGCTCCAGGTGAAGCGGAGAGAG 791 GTCACCCCAGACCAGCCGAAGGAGCCCCCCA IGHJ5_chr14:106329850-106329950 GCTGCCGACATCTGTGGCCGGACTTTGGGGAGGACAGGCTGGGTTCCCATTCGAAGGGTCCCTCTCCCCGG 792 CTTTCTTTCCTGACCTCCAAAATGCCTCCA IGHJ5_chr14:106329950-106330050 AGACTCTGACCCTGAGACCCTGGCAAGCTGAGTCTCCCTAAGTCGACTCAGAGAGGGGGTGGTGAGGACT 793 CACCTGAGGAGACGGTGACCAGGGTTCCCT IGHJ5_chr14:106330050-106330150 GGCCCCAGGGGTCGAACCAGTTGTCACATTGTGACAACAATGCCAGGACCCCAGGCAAGAACTGGCGCCC 794 CGCTACGTCCCTGGGACCCTCTCAGACTGA IGHJ5_chr14:106330150-106330250 GCCCGGGGAGGGCCCGGGGGTTGTTGGGCATTGGACCCCAGAGGCCTAGGGTGGCCCTGGCCACAGAGA 795 GACCCGTGCTGCTGGGCTCAGGAGGAAGGAG IGHJ4_chr14:106330250-106330350 CATCTGGAGCCCTTGCCCCTCGTCTGTGTGGCCGCTGTTGCCTCAGGGCATCCTCCTGAGCCCCCCAGGAT 796 GCTCCGGGGCTCTCTTGGCAGGAGACCCA IGHJ4_chr14:106330350-106330450 GCACCCTTATTTCCCCCCAGAAATGCAGCAAAACCCTTCAGAGTTAAAGCAGGAGAGAGGTTGTGAGGAC 797 TCACCTGAGGAGACGGTGACCAGGGTTCCC IGHJ4_chr14:106330450-106330550 TGGCCCCAGTAGTCAAAGTAGTCACATTGTGGGAGGCCCCATTAAGGGGTGCACAAAAACCTGACTCTCC 798 GACTGTCCCGGGCCGGCCGTGGCAGCCAGC IGHJ4_chr14:106330550-106330650 CCCGTGTCCCAAGGTCATTTTGTCCCCAGCACAAGCATGACTCTGCCCACCCTTTGCCCCAGCAGCAGAGT 799 CCCAGTTCCCAAAGAAAGGCCTTCTGCTG IGHJ3_chr14:106330650-106330750 AACGTGGTCCCAAACAGCCGGAGAAGGAGCCCCGGAGGGCCCCACATGGCCCAGCGCAGACCAAGGAGC 800 CCCCGGACATTATCTCCCAGCTCCAGGACAG IGHJ3_chr14:106330750-106330850 AGGACGCTGGGCCCAGAGAAAGGAGGCAGAAGGAAAGCCATCTTACCTGAAGAGACGGTGACCATTGTC 801 CCTTGGCCCCAGATATCAAAAGCATCACACA IGHJ3_chr14:106330850-106330950 GGGACACAGTCCCTGTTCCTGCCCAGACACAAACCTGTGCCCGTGCAGGACACTCGAATGGGTCACATGG 802 CCCAAGCACAGAGCAGAGGCAGCCGGCGTC IGHJ3_chr14:106330950-106331050 CCTGTCCCCAGCCACACAGACCCCCGGGCTGAGACCCAGGCAGGGAGGGGTGACGTTCCCAGGGAGACG 803 GTGGCCGGGCTGCCCTGGCCCCAGTGCTCCA IGHJ3_chr14:106331050-106331150 AGCACTTGTAGCCACACTAAAGCGCAGGCCTGGTCCCCGGCACATCAACAGCCAGCGCCCAGCCCCAGCC 804 CAGGCTCTGCCCACAACTTCTCCTTCCCGT IGHJ2_chr14:106331150-106331250 CCCTGCCCTCGGCCTGCTTGCTACCTGTGGAGGGTCCCTGACGGGGCTGAAGCCCAGCGGGGTCCCTGCC 805 TGTCCTTGGGGGCTCCAGCTGGCCCCAGGG IGHJ2_chr14:106331250-106331350 CTAAGTGACAGCAGGGCTCTGGCATGCAGCCCATGGCGGAGACCCCAGGGATGGCAGCTGGTGTGGCCTC 806 AGGCCAGACCCAGGCCGGCTGCAGACCCCA IGHJ2_chr14:106331350-106331450 GATACCTGGCCTGGAGCCTGGACAGAGAAGACGGGAGGGGGCTGCAGTGGGACTCAGCTGAGGAGACA 807 GTGACCAGGGTGCCACGGCCCCAGAGATCGA IGHJ2-chr14:106331450-106331550 AGTACCAGTAGCACAGCCTCTGCCCTCCTGCTTCCCCATACAAAAACACACCCTCCGCCCTCCTGCCGAC 808 CTCCTTTGCTGAGCACCTGTCCCCAAGTC IGHJ1_chr14:106331550-106331650 TGAAGCCAAAGCCCTTGCCTGGCCCAGTACACCTGGCTCCCCGCTATCCCCAGACAGCAGACTCACCTGA 809 GGAGACGGTGACCAGGGTGCCCTGGCCCCA IGHJ1_chr14:106331650-106331750 GTGCTGGAAGTATTCAGCCACGGTGAGTCAGCCCTGAGCCAGGGGCTACAGAAACCCACAGCCCGGGGTC 810 CCGGGGGAGCATGGTTTTTGTAGAGCTGCC IGHD7-27_chr14:106331750-106331850 AATCACTGTGTCCCCAGTTAGCACAGTGGTTCTCAGCTTAGCCAAAACCCTGCGGCTGGTAGGGGGCCTG 811 TGGGGCTGGGGGCTGATGTGGCTGCGGTCT IGHD6-19_chr14:106357890-106357990 TGCTGGGTCTGTCCTCTGTGGGAGGGGCTGCTACCCAGGCCCAGGACTGCAGTGGAGGGCTCACTGAGGG 812 GCTTTTGGGTCTGGCCTGAGCCGCTGTGGG IGHD3-3_chr14:106380360-106380460 GCTCTCAGGTCTACTGCGGGGACACTCGGGTCTGCCCCTGGCTTAGGTGGACAGTGTCCGTGCCCACCTG 813 TGCCCTGAGGCTCCATTTCAGGCTGATATC IGHD3-3_chr14:106380460-106380560 TGTCTGTATTGTCCCTACCCGCTGCATGGCCATGTCCTTTTGGGTTTATAAATTGCCCCCAAATCACGCAG 814 GCATCATTCAGGCTTTTTATATTCCCTGG IGHD3-3_chr14:106380550-106380650 TATTCCCTGGGCCACCAGGTGCCTCCACCCAGAAAGCTGAGATGTGGGAGGTTCTAGAGTCATTCTGCAA 815 CCCTGGATGAGCCCCTGCAGCCTCAGTGCT IGHD3-3_chr14:106380650-106380750 ACTGAGGTTCCAGCAAGACCTGGAGCAGGTGCAGATGAGGCCTGAGGCCAGGTGAAGCCCAGGCCAGGT 816 GAGGTCCAGGCCAGTGAGGCCCAGGTCAGAT IGHD3-3_chr14:106380750- GAGGCCCAGGTCAGGTGAAGCCCAGGTCAGGTGAAACCCAGGTCAGGTGAGGCCCAGATCATGTGAGCT 817 106380850 CAGGACAGGCAAGGTCCAAGTCAGGTGAGGC IGHD3-3_chr14:106380850- CGAGCTCAGGTGAAGCCCAGAGGTGAGGTCTAGGCCAGGTGAGGTCCAGGCCAGGTGAGGTCCAGGTCA 818 106580950 GGTGAGGCCCAGGTCAGGCAAGGCTGAGGTA IGHD3-3_chr14:106380920- TCCAGGTCAGGTGAGGCCCAGGTCAGGCAAGGCTGAGGTAGATGTATGAGACTTCTGTAATTTTCAGTTG 819 106381010 GTGCCAACCCTGCCTGGTGTCCCTGCCCCT IGHD3-3_chr14:106381010- CCTCCCAGCCCATGCTCTGTGCCTGCCAGATGGCGGCCCCTGCACAGGTGCTGCTGGCTGTGGAGGAGCT 820 106381110 GGGCTCTGCCTCCCTGTGCATGGGCGTCCC IGHD3-3_chr14:106381275- GCCTGCAGGTGTCCGGCTGATGCCCAGGGAGGTGAGTGCCACCACATATCAGGCCTTTTCTCTTTAAAGT 821 106381375 CATTTCTTTGGGGATACATCATCAATGTCT IGHD2-2_chr14:106381485- TCTAAACACAGCTGTGTGCATTTTCCTCTTCTTGCAATTTAGAATTTTAACTGCTGTTTTCAAGGTACTGTA 822 1063815S5 ATGTATTTGTTCTCTTCTTGTTAGGAGA IGHD2-2_chr14:106381585- CTTGCCAACCCTGTGTGTCTCAGTTCATACCCTCTTCCTTCCCCACTAGAAGTAACGACCACTGTGTTTAT 823 106381685 GTGATCATCCTTTTCTTGATTTTCCTTAT IGHD2-2_chr14:106381655- TGTGATCATCCTTTTCTTGATTTTCCTTATAGTTTTCCTAGTGCAAAGTTTATCCCTTAAGAAGATAGTTCA 824 106381755 TTTTGCCGGCTGTAAATTTTATTTAGAA IGHD2-2_chr14:106381890- CTCGCATCGTTTATTTGGTGTTTTCCTTCAGATGGCTGTTTGCTTCATTCTCAGTTTGGGGCTATGACAAA 825 106381990 CATATGTTCTGCACATCTTTGCCCATGA IGHD2-2_chr14:1063S1990- GGCTCTCAGCGAGGGCTCTGGAGCTGGCATTGCCTGCAGGGCTCTGCTTTGTTGCAGGGAGTTCCTGCCA 826 106382090 AGGCTTTTCAGAGTGTCTGTGCCCAGCCTG IGHD2-2_chr14:106382090- AAGGTACACACTGTACTTTGCCCTTGCATCAGGCACTTTCCTTGTGCTTGCTTCTGTGTGGCTCCACATTCT 827 106382190 GGAGAATTTATTCAGATCTGTGCTGCAA IGHD2-2_chr14:106382325- CTTCCCACACTGTCCTCCTGGGCTCACTCCCAGCCATCGATCTTGAACACCAGTTTATGGAACTATCTGCA 828 106382425 CAGGAAAGCAGAAACAGCAAAAGGCCCTG IGHD2-2_chr14:106382905- TTGCGTGGACCCTGTTTTTGGTCAAGGGAAGTACTTGCTCGTGAAGGAGACCTCCCCTCCTTTCTTTCTCA 829 106383005 GGAGCCCCCTCTGATGCCGTTGCCTGGTG IGHD2-2_chr14:106383005- TTTCTCAGGGCTGGTGCTGGGGGCTCAGCAGTGTCTGCCCTGTTCCAGGTGGGAATGTGGGTCTGTTCTGT 830 106383105 TTCCACGCGGTGTTCTGGGGCCGCCAGTG IGHD2-2_chr14:106383030- CAGCAGTGTCTGCCCTGTTCCAGGTGGGAATGTGGGTCTGTTCTGTTTCCACGCGGTGTTCTGGGGCCGCC 831 106383130 AGTGAGGGGCTCGGGATGTCAGCGGCTGG IGHD2-2_chr14:106383130- TCTCTGTCCCTATGGTCTGGGCTCCGGTTCACTGCTCCCCTGCCCTCCAGGTCGGTCACTGACTCAGTTAC 832 106383230 TATCCAGCGGGCTCCGTGGCTGTTCAGTG IGHD2-2_chr14:106383980- GGGAGCAAATGGAGAGGGAAGTGGCAGCGGCCCGAGTGCCAGGCGGTCCCGGTTTGGGGTTGATCTTTG 833 106384080 TGGAACAGCTCCCTGGCCCGTGTGTAAGTGG IGHD1-1_chr14:106384080- TCGGGGGAGGCACGGAGGTGTGGAGCTAGAAGCGGTGGCAGGAAGGCAGGTCCCAGTCTTGGGGGTCTG 834 106384180 GAGCTTATCTTCTTCCTGTGAACTGAGTGTG IGHD1-1_chr14:106384630- ATGGAGGACCTGCCTCGGATGACACCCCTATCTTAAGAAGGTCATGGTGGGTTCCAGCTGGGAGGAAGGG 835 106384730 AAGTGGGCCACCTCCTGGGGGTCTTCCACC IGHD1-1_chr14:106384720- GTCTTCCACCCCCACCACCTCAGCCTGGGGCCTCTGTGATTCCTCTCTGCACAGACCCCAAAGTCTCTGCT 836 106384820 GCCGCAGGGCAGGAAGGAAGGGCCTGTGG IGHD1-1_chr14:106384825- TCGAGGTTGGGGCCACAGTGGTGTTCCCTAAGCCCGAGTCTGCTTCTCATGGCCCGCCCCGCAGCAGGTCC 837 106384925 TGAGTGAGGGACAGAGACCGGGGCGGGGTC IGHD1-1_chr14:106384925- TTTGGTCCTGGTGGACTCTGGGGTGGATTCCAGTGGGGAGTCATCAGGGTCGGTGTCCCCCAGGGTACTG 838 106385025 GGGTGTCTCTGCTCCTGGAGTCGGCTCTGG IGHV2-5_chr14:106494090- CCTGGGTTTTTGTACAGGAGGTGCCCTGGGCTGTGTCTTTGTGGTCTGTGTGCACAGTAATATGTGGCTGT 839 106494190 GTCCACAGGGTCCATGTTGGTCATTGTAA IGHV2-5_chr14:106494210- GTGTCCTTGGTGATGGTGAGCCTGCTCTTCAGAGATCGGGCTGTAGCGCTTATCATCATTCCAATAAATGAG 840 106494310 TGCAAGCCACTCCAGGGCCTTTCCTGGGG IGHV2-5_chr14:106494310- GCTGACGGATCCAGCCCACACCCACTCCACTAGTGCTGAGTGAGAACCCAGAGAAGGTGCAGGTCAGCGT 841 106494410 GAGGGTCTGTGTGGGTTTCACCAGCGTAGG IGHV2-5_chr14:106494445- CTGTGGAGAAAGCATAAGAAGATGAAGCCCACAAACAAGAAAACTGATGTTTCACCCGTGAAGGAGTCC 842 106494545 CTGACCACAGCACTCACATGAAGGGATGGTC IGHV2-5_chr14:106494545- AGCAGCAGGAGCGTGGAGCAAAGTGTGTCCATGGTGGGGCACAGGAGTCACTGAGCTGGGACCTGTGCT 843 106494645 CGGCTTTTTCAACCCAGAGGAGGGTGGAGCT IGHV2-5_chr14:106494565- AAGTGTGTCCATGGTGGGGCACAGGAGTCACTGAGCTGGGACCTGTGCTCGGCTTTTTCAACCCAGAGGA 844 106494665 GGGTGGAGCTGCTGGAGATTTGCATTCCCC IGHV2-5_chr14:106494650- AGATTTGCATTCCCCTCATCTGTGCCCTACTCTATGGGATGGAGTCAGGTTTCAGGACTCAGGAGGGTGTT 845 106494750 GCATCTGTGGTGAGGACCAGTGATAGTAA IGHV2-5_chr14:106494750- CATGATCAGTGTAATTCAGATGGCATTAATCTAAGGCTGGGCAAGTAGATTCTGAGTAGAAGTCTTTGCA 846 106494850 GAAGTCATGATTATGAGGTCATGTTGGTCT IGHV3-7_chr14:106518495- GCCCTTCACAGAGTCCACATAGTATTTCTCACTTCCATCTTGCTTTATGTTGGCCACCCACTCCAGCCCCTT 847 106518595 CCCTGGAGCCTGGCGGACCCAGCTCATC IGHV3-7_chr14:106518855- TGAGTCCTCTGTGCTCAGTGCTGATCACCAAGTGGAAAGGCCTTGGAGTCCAGGGCTAAGGCTCCTCTCT 848 106518955 GAGACCTGCAGGGTCAGGGTTGGGTTGGTT IGHV3-7_chr14:106518955- TTCATCAGTAGAGGGAGGGCCCTATTTGCATGTCTCCTACTATATAAGAAGCTCTAGTGGGATGCTGGAG 849 106519055 GAATAGGCTGTACCCATATAAGAAGACGGT IGHV3-7_chr14:106518970- GGGCCCTATTTGCATGTCTCCTACTATATAAGAAGCTCTAGTGGGATGCTGGAGGAATAGGCTGTACCC 850 106519070 AATATAAGAAGACGGTGCTCTGCAGAAGTTT IGHV3-7_chr14:106519070- GCTGACAATGATGGTATTTGGAAAATATGCTGTCTTATGAAATTGTGCTGTGATAAACACTTTGCCCTGAT 851 106519170 CACCCTATTACATTTTTTAAAAAATGTGT IGHV3-11_chr14:106573540- CAAACACAGAGACAACCTAGTCAGAAACTGCCACATATATTCACTGCTTATCTCACTCACGTCCACTCAAT 852 106573640 GTCTCTAGTTCTCCATAAATCACCTTTTA IGHV3-11_chr14:106573640- TAATAGCAACAAGGAAAACCCAGCTCAGCCCAAACTCCATGGTGAGTCCTCTGTGTTCAGTGCTGATCAC 853 106573740 CGAATGGAAACTCCTGGGAATTCTGGGGCT IGHV3-11_chr14:106573685- GTCCTCTGTGTTCAGTGCTGATCACCGAATGGAAACTCCTGGGAATTCTGGGGCTGGGGCTCTTCTCCCAG 854 106573785 AGCTGCAGGGTCTGGGCTCGGCTGGTTTT IGHV3-11_chr14:106573785- TATCAGCAGAGGGAGGGCCCTATTTGCATGTCTCCTACTATATAGCAAGCTCTAGTGGGACGCTGGAGGA 855 106573885 GAGGGCAGTGCCCAGAGCAGATGAGAGGGT IGHV3-11_chr14:106573885- CCCGGAAAACACTGGAGGTAATCCTATCTCTCAGGAAAATATAACTTCAGATTATGTGATTGTGACTTGA 856 106573985 TGATCAATTAGCAGTCATCATCTTATTTAA IGHV3-11_chr14:106573985- TGTTTACATATTTGCAGAATATATTCAGTGCAAGTGTCAATGTTACATTTTTAGAGAAGATGAATTACATA 857 106574085 CATAACAGAGCAGTTGTGCAATGTGTCCA IGHV3-15_chr14:106610690- ACTCACACTTAATCTCTCTAGTTCTCCATAAATCACCTTTTAAAATAGCAGCAAGGAAAATCCAGCTCAGC 858 106610790 CCAAACTCCATGGTGAGTCCTCTGTGTTC IGHV1-18_chr14:106642110- GATGCTTATTTAATAGCCCAATTCCTGACCCAGGATGAGAAAGAGCAAATACATGACACATGGACGACACA 859 106642210 ATTGTAGAAGCTGAGGGTTCAAGCCGTAAT IGHV1-18_chr14:106642210- CCTGTTAGAGGCCACGCATCCCCTACCCATCCCTTGAACTCTGTGTTGACAGAGCTTCCCCCACTGGAGAAC 860 106642310 AAGCTCCCCCAGGACACGCACCTCACTTA IGHV3-23_chr14:106725295- GGCCCTTCACGGAGTCTGCGTAGTATGTGCTACCACCACTACCACTAATAGCTGAGACCCACTCCAGCCCC 861 106725395 TTCCCTGGAGCCTGGCGGACCCAGCTCAT IGHV3-23_chr14:106725395- GGCATAGCTGCTAAAGGTGAATCCAGAGGCTGCACAGGAGAGTCTCAGGGACCCCCCAGGCTGTACCAA 862 106725495 GCCTCCCCCAGACTCCAACAGCTGCACCTCA IGHV3-23_chr14:106725550- ACTGTTTCTCTCACTCTTATCCATTCACACTCAATTTTTCTATTTCTCCATGAATTACCTTTTAAAATAGCC 863 106725650 ACAAGAAAAAGCCAGCTCAGCCCAAACT IGHV3-23_chr14:106725650- CCATGGTGAGTTCTCTCTGTTCAGTCCTGATCACCAAATGAAAACACCTGAAAATCCCAGGGCTGGGCTC 864 106725750 CTCTCTCAGAGCTGCAGGGTCAGGGCTGGG IGHV3-23_chr14:106725780- TTTGCATATCTCCTACTATATAGTAAGCTCTGGGGTGAGAGGCCTTTGGAGATAGTGGGGCTCAGAGCAT 865 106725880 GTCAGAATGTCCTCGGGGAGATCTGTGATA IGHV3-23_chr14:106725880- TTGAAAGCATTGGGAAATTGTGCTTTCCTATTGTCAGTTTGTTTTGTGATAAACTTAAACCTTAAAACCTA 866  106725980 AAAATCTTATAATTTTGTAATTTTTATTT IGHV3-23_chr14:106725995- GAGGTACCATAGATCTACATAAACTGCATATTTTTAAAGTTAGCACCAATCATCTTTTATTTTTACATACG 867 106726095 CAGAGAAACCATGGTATATAGTATCAATA IGHV3-23_chr14:106726095- TTATTTCCATGATAAAGATGAAAAATTATCAGCAAAAGCACAGGTCGGTTTTACAATGTCCCCAGTGCTC 868 106726195 ACTTTTGGTCAGAGTGAGCCTGGGCATCTG IGHV1-24_chr14:106732970- TCCTACATAATGACAGTGTACACATCTTTCCATTGCTGTTTTACTCAATTACTCAACCCATTTTCTAAACAG 869 106733070 ATTTAAACTTCATAAATCCTGTCATCTC IGHV1-24_chr14:106733070- CTCAGCCTCAGCACAGCTGCCTCATTCCTCAGGGTTTCTGACGCTCTCAGGATGTGGGTTTTCACACTGTG 870 106733170 TCTGTTGCACAGTAATACACGGCCGTGTC IGHV1-24_chr14:106733185- GCTCAGCTCCATGTAGGCTGTGTCTGTAGATGTGTCCTCGGTCATGGTGACTCTGCCCTGGAACTTCTGTG 871 106733285 CGTAGATTGTTTCACCATCTTCAGGATCA IGHV1-24_chr14:106733275- TTCAGGATCAAAACCTCCCATCCACTCAAGCCCTTTTCCAGGAGCCTGTCGCACCCAGTGCATGGATAATT 872 106733375 CAGTGAGGGTGTATCCGGAAACCTTGCAG IGHV1-24_chr14:106733375- GAGACCTTCACTGAGGCCCCAGGCTTCTTCACCTCAGCCCCAGACTGTACCAGCTGGACCTGGGCGTGGG 873 106733475 TGCCTGTGGAGAGGACAGAGGAGTGGATGA IGHV1-24_chr14:106733475- GACACCACTTAACTGGACCCAGTCCCCTCATCAGCCCTGGAACTCAGGATTCTCTTGCCTGTAGCTGCTGC 874  106733575 CACCAAGAAGAGGATCCTCCAGGTGCAGT IGHV2-26_chr14:106758470- GAGGGTGGGAATCTGGGAGAGCAAGGGGCTTCCCATAAGTGTTCTGATAAAAATCCTCTTTGTTTAGGGG 875 106758570 GAAAGTGAGATTTTTTTGAATGATAGAGA IGHV2-26_chr14:106758570- ATACATCACCCAAACATTTAAAAATGTATTGTGTAAAGAAGTGTAAATGGCATCTCAGCCATTTACACAC 876  106758670 TGCAAGACACACAGCTTATTAGTGTGCTG IGHV3-30_chr14:106791090- TGGTGAATCGGCCCTTCACGGAGTCTGCATAGTATTTATTACTTCCATCATATGATATAACTGCCACCCAC 877 106791190 TCCAGCCCCTTGCCTGGAGCCTGGCGGAC IGHV4-31_chr14:106805945- ACAATCACTTGAGTTCAGACACACCAGGATTCACTTAATGTTATTTTTAGTTCAGAACCTCTATCAGGTTT 878 106806045 AGAGGGAATCGCTCTGTCCCAGGGAGTGG IGHV4-31_chr14:106806045- ATCTTACAATAGCAAAACGGTCTTAGAAAACCCAACATAATCTACAGCGAGACCTCAGCATGGCAAGCAA 879 106806145 GGAATCACTAAAGCCACCAGGGAGATCCGG IGHV4-31_chr14:106806120- CACTAAAGCCACCAGGGAGATCCGGATGCACTGATACGATCCAGAAACATAGCGAGTCCGGGAACTGAT 880 106806220 GCGGACTTTGAGGCAGCCTCTTTTTTTTTTT IGHV3-33_chr14:106815805- GATGGTGAATCGGCCCTTCACGGAGTCTGCATAGTATTTATTACTTCCATCATACCATATAACTGCCACCC 881  106815905 ACTCCAGCCCCTTGCCTGGAGCCTGGCGG IGHV3-33_chr14:106815905- ACCCAGTGCATGCCATAGCTACTGAAGGTGAATCCAGACGCTGCACAGGAGAGTCTCAGGGACCTCCCAG 882  106829685 GCTGGACCACGCCTCCCCCAGACTCCACCA IGHV4-34_chr14:106829685- CTCGACTCTTGAGGGACGGGTTGTAGTTGGTGCTTCCACTATGATTGATTTCCCCAATCCACTCCAGCCCC 883 106829785 TTCCCTGGGGGCTGGCGGATCCAGCTCCA IGHV4-34_chr14:106829765- GGCTGGCGGATCCAGCTCCAGTAGTAACCACTGAAGGACCCACCATAGACAGCGCAGGTGAGGGACAGG 884 106829865 GTCTCCGAGGCTTCAACAGTCCTGCGCCCC IGHV4-34_chr14:106829865- ACTGCTGTAGCTGCACCTGGGACAGGACCCCTGTGAACAGAGAAACCCACAGTGAGCCCTGGGATCAGA 885 106829965 GGCAGCATCTCATATCTTCATATCCGCATTC IGHV4-34_chr14:106829965- CTGAGACACTCACATCTGGGAGCTGCCACCAGGAGGAGGAAGAACCACAGGTGTTTCATGTTCTTGTGCA 886 106830065 GGAGGTCCATGACTCTCAGAAAGCACTTCC IGHV4-34_chr14:106830125- GAGGATTTGCATGTGGGTGGTGCCTTTGTATGGATAGGTAAAAAGGGATGAGGGAGGCCCCAGTCTTTTG 887  106830225 GGCTCACCCTGGGAGGTGTATGCTGGCTGT IGHV4-34_chr14:106830240- AGTTCTCTTCCTGTGGCCTCCCCTCACCAAACCCAGAGTCCTCTTCTTCCAGGTAGGAAATGTGCTGAAGG 888 106830340 AGCTGGTCTGGGAGACAAGTGTGATCATG IGHV4-34_chr14:106830315- GGTCTGGGAGACAAGTGTGATCATGGATCAAAGACAGATTTTGGAATACAGTTAATACTGTTCTACATTT 889 106830415 AAAGATTCATATAACACCAACCATACACCC IGHV4-34_chr14:106830415- AGGTCACCTAAATTGTCATTTACCCCTTCAGACATATTGAAACAGCTGCTGAGTGTAATAATCACAGTGA 890 106830515 ATTGAGACAAACCTGGATCCATGCAATGTG IGHV4-34_chr14:106830515- TACTGTAGTTCAGAACATCCATCATGGTTAGAAGGATGCTACCTGTCCCAGGAAGTGGGTTATTTTTAAAT 891  106830615 AGTACCTGAGAGCTGCCCTTCTGAGACCT IGHV4-34_chr14:106830615- TTTGAAATTTGAGATTGTGTGTGAGATCTCAGGAGAAGGTAGTAGAATATATCTCCATCCTTCTCAATGTG 892 106830715 TAACCCTGAGAATATGGCCTGACCTCTAA IGHV4-34_chr14:106830715- ACATTTCTGTGTGAAAAGATGTACATTGGGGATAGCAGTGACAGCTTCAGATGAAAACTCTATAGTACAT 893 106830815 CAGCACTGGAGGATAGTCTCATCACCAAGA IGHV4-34_chr14:106830815- TTAGTGAAATTACCTTTCCTGGGAACCAGAGAGGACCTCTGTGAGCTCTACCCTCTGAGAGAACAAGGAA 894 106830915 CTCTGGTTCTTCCCTGACAGGTCACACCTG IGHV4-34_chr14:106831185- AACAAGTGGGCTGGCCTTCTATGAGACGACAGAGGGAAAGAGACAGACTCAATATCCAGAGCGAGGTGA 895 106831285 GCTCCTTACCTACCTACCAGGTGGTCTCTGG IGHV4-34_chr14:106831285- GCCATTTGTTTGAGCAGACCCAGAAGTACCTTCCTCACCCTCAGGAGAATTATGAACATTGAGAGAAACT 896 106831385 GAGATACTTTTTTTATTTACAGGGAATATT IGHV4-34_chr14:106831385- TCATCGGCGTGTTTACATCTACCTGGGTGTGTACAGGGATGCTAGGATGTGCTCATACACAGAAGAGCAA 897 106831485 GAATTATATTTCGTGGAAAGAAAACCAAAG IGHV4-34_chr14:106831485- AGCTTCTGAATTTGTAGGTATTGTTTGCTGCAAATGTGTCAGGTCACTAGATCATGTTATGCTGCTAGAAG 898 106831585 AAAAACTTCCCAACATTGTCATGGAGACA IGHV4-34_chr14:106831585- AAATGCAAAACAGTAAAGATTCAACTGAGATTCCCTTGAAAATCACCAGTAATGAACAGCCAAAAGAA 899 106831685 ATCAACCATTGTGGAAAGAGTGGTCATTAAG IGHV3-35_chr14:106846385- CCCAGTGTCACCTTACACATCCTGCAGGTCACCTCACACATCCACCAGGTCACCGCACATATACCCCACAT 900  106846485 CACCTCAGACACACCCTGGTCACCTCATA IGHV3-35_chr14:106846485- CATACGTCAGGTCACCTCACGCTCACCCAAGGTCACCTCACACATCCCGCAGGTCACCTCGTAAATCCCCC 901 106846485 AGGTCACCACATACATGCACCAGTTCACC IGHV4-39_chr14:106877715- CTCTTGAGGGACGGGTTGTAGTAGGTGCTCCCACTATAATAGATACTCCCAATCCACTCCAGCCCCTTCCC 902 106877815 TGGGGGCTGGCGGATCCAGCCCCAGTAGT IGHV4-39_chr14:106877815- AACTACTACTGCTGATGGAGCCACCAGAGACAGTGCAGGTGAGGGACAGGGTCTCCGAAGGCTTCACCA 903 106877915 GTCCTGGGCCCGACTCCTGCAGCTGCAGCTG IGHV4-39_chr14:106877930- GAACAGAAAAACCCACAGTGAGCCCTGGGATCAGAGGCAGCCTCCCATATCTCCATGTCTGCATCCTAGA 904 106878030 AACACTCACATCTGGGAGCCGCCACCAGCA IGHV4-39_chr14:106878030- GGAGGAAGAACCACAGGTGCTTCATTTTCTTGCACATGAGATCCATGACTCTCAGAAAGCATTTCCCTTAT 905 106878130 GAGTTGGACCTGAATTTAAGGAAATGTGT IGHV4-39_chr14:106878130- GGTGGCTTCCTGTGGGCCTCCTAAGTGAGGATTTGCATGGGGGTGGTGCGTTTGTACGGAGCAGTGAAAAG 906 106878230 GGATGAGAGAGGCGCCAGTCTTTTGAGCTC IGHV4-39_chr14:106878230- ACCCTGGGAGGAGAATGCTGGCTGTGCCCTTTGAGAACTCAGTTCTCTTCTTGGGCCTCCCCTCTCCAAGC 907 106878330 CCAGAGTCCTCTTCTTCCAGGTAAAGAGA IGHV4-39_chr14:106878330- TGTGCTGAAGGAGCTGGTCTGAGAGATGAGTGTGATCCTGGATCAAGGACAGATTTTGGAATAGGGTCAG 908 106878430 TACTGTTCAACCCTTAAAGATTCATATAAA IGHV4-39_chr14:106878430- ACCCACCACACACCCAGGCCATCTAAATAGTCATTTACCCTTTCAGACACATTGAAACAACAGCTGAATGT 909 106878530 AATAATGACAGTGACTTCAAACAATACTG IGHV4-39_chr14:106878540- ATGTTTATTGTAGTTCAGAACATCCACCATGGTTACAGGGAAGCTCACTGTCCCTGGAAGTGGGTCATTTT 910  106878640 TTAAAAGCACCTGAGAGCTGTCCTTCTGT IGHV4-39_chr14:106878680- AAGGTAGTGGGACATATCTCCATACTTCTCAATGTGTGACCTTGAAGATGTGTCCTGCCCTCTAAACACTT 911 106878780 CTGATTGAAAATATGTAGATTGGGGATTA IGHV3-48_chr14:106994300- GTGGAAATGCCTTGGAATCCAGGGCTAAGGCACCTCTCTGAGAGCTGCAGGGTCAGGGTTGGGTTGGTTT 912 106994400 TCATCAGTAGAGGGAGGGCCCTATTTGCAT IGHV3-48_chr14:106994430- GGACCCTTGAGGAGTAGGCTGTACCCAGATAAGACGACGGTGCCCTGTAGAAGTTTGCTGGCAATGATTG 913 106994530 CATTTGGAAAATATGCTGTCTTATTATGAA IGHV3-48_chr14:106994530- ATTGTGCTGTGATAAACACTTTGCACTAATCACCCTATTTCATTTTAAATATTCATGTAAACTATGTTCTGT 914 106994630 AGGAGACAATATTTTCTCCATTTACAGA IGHV3-48_chr14:106994545- ACACTTTGCACTAATCACCCTATTTCATTTTAAATATTCATGTAAACTATGTTCTGTAGGAGACAATATTTT 915 106994645 CTCCATTTACAGAAGTGGAAGTAAACCC IGHV3-48_chr14:106994660- CTGTATGCATCTAGGAGCTCATGTCTGGGATGAGTGAACCCCGGTATCTGGCCCTGTGCTCTTCATCACTG 916  106994760 TCTCTGACATCCCCCTAAACCAACTCCAG IGHV3-48_chr14:106994760- GACAAAGCTCGATGTGTCTAGTGTTTTTATCAGAACCGACTTTCCGTAATAAGAGCATGTGTGGTTTTGCT 917 106994860 GCCCTCCAGCACTCTTCTGAAAATATGGA IGHV3-48_chr14:106994860- GAGAACTAGGATCCAGGCACATTAATTTTCAGGTACTTCTGACATTGAACTTATTTTTTTCTATCTTTCTATT 918 106994960 ACTCTTTCCTTGTCTAAGTTTCCATTTG IGHV4-59_chr14:107083565- AGAGAGACCCACAGTGAGCCCTGGGATCAGAGGCACCTCCCATATCCCCATGTCTGGATCCCTGAGATAC 919 107083665 TCACATCTGGGAGCTGCCACCAGGAGAAGG IGHV4-59_chr14:107083665- AAGAACCACAGATGTTTCATGTTCTTGCACAGGAGGTCCAGGACTCTCAGAAAGTATTTCCCATGTGAGC 920 107083765 TGGAACCTGAATTTAAGGAAATGTGTGGTG IGHV4-59_chr14:107083790- ATTTGCATGTGGGTGGTGCCTTTGTATGGAGAGGTGAAAAAGCAGGAGGGAGGCCCCAGTCTTTTGGGCT 921  107083890 CGCCCTGGGAGTAGGATGCTGGCTGTGCCC IGHV4-59_chr14:107083890- TTTGAGAACTCAGTTGTCTTCTTGGGGTCTCCCCTCTCCAAGCCCAGAGTCCTTCTTCTTTCAGGTAAAGAG 922 107083990 ACGTGCTGAAGGACCTGGTCTGGGAGATG IGHV3-64_chr14:107113405- CTGACAGTGGTGACCATGGTTGAGAACTTTTCATCTCCTCTGTGAGGATCAATCTGCATTTTCTGCATAGG 923 107113505 AGAATAGGTTTTCATATTAAAACAATCAT IGHV3-64_chr14:107113505- TTTAAAAATATGTAGAAATGACCCTAGTAATCACAGAATTCCGAACTTAGGTTCAGTAGAGAAACTTTAA 924 107113605 GAAGATGAAGTCCCACATCGTGACAGGAAA IGHV3-64_chr14:107113820- TGGAGATGGTGAATCTGCCCTTCACAGAGTCTGCATAATATGTGCTACCCCCATTACTACTAATAGCTGAA 925 107113920 ACATATTCCAGTCCCTTCCCTGGAGCCTG IGHV3-64_chr14:107113920- GCGGACCCAGTGCATAGCATAGCTACTGAAGGTGAATCCAGAGGCTGCACAGGAGAGTCTCAGGGACCC 926 107114020 CCCAGGCTGGACCAAGCCTTCCCCAGACTCC IGHV3-64_chr14:107114095- TTCTCTCACTCATGTCCACTCACACTCAATATCTCTATTTCCTCATGAATCACCTTTAAAAATAGCAACAA 927 107114195 GGAAAACCCAGCTCAGCCCAAACTCCATC IGHV3-64_chr14:107114195- ATGACTCTTCTGTGTTCAGTGCTGATCACCAAATGAAAACACCTGGGAATCCCAGGGCGGGGGCTCCTCT 928 107114295 CCCAGAGCTGCGGAGTCAGGGCTGGGCTGG IGHV3-66_chr14:107136755- TAGGGCACATCCTTCCCATCCACTCAAGCCCTTGTGCATGGGCCTGGCGCACCTAGTGCATAGAGTAACT 929  107136855 GGTGAAGGTAGGTGTATCCACAAGTCTTGC IGHV3-66_chr14:107136855- AGGAGACTTTCACTGATGCCCCAGCCTTCTTCATCTCATCCCCAGACTGCACCAGCTGCACCTGGGACTGG 930 107136955 GCACCTGTGGAGAGGACACGGGAGTGGAT IGHV1-69_chr14:107169645- GAAAACTTGTTCACAGTAGCATCTTCATGGAATGTTTGTATCAACGTTATAGAGTGTGGCCTTTTCCACTC 931 107169745 TGTGAATTTGGCTTATATTACGACTCTTG IGHV1-69_chr14:107169745- AATGGAATATTTATCTTAAAATTAGAGTATGTACTTGTTTCTACTGTTCTTTTTTTCTCAAATATATAACCC 932 107169845 ATTTTGTAAACAGCCTTAAACCTAATAA IGHV1-69_chr14:107169970- CTGCTCAGCTCCATGTAGGCTGTGCTCGTGGATTTGTCCGCGGTAATCGTGACTCTGCCCTGGAACTTCTG 933  107170070 TGCGTAGTTTGCTGTACCAAAGATAGGGA IGHV1-69_chr14:107170070- TGATCCCTCCCATCCACTCAAGCCCTTGTCCAGGGGCCTGTCGCACCCAGCTGATAGCATAGCTGCTGAAG 934 107170170 GTGCCTCCAGAAGCCTTGCAGGAGACCTT IGHV1-69_chr14:107170170- CACCGAGGACCCAGGCTTCTTCACCTCAGCCCCAGACTGCACCAGCTGCACCTGGGACTGGACACCTGTG 935 107170270 GAGAGCACACAGGGGTGAATAAAATCCTCT IGHV1-69_chr14:107170220- CCTGGGACTGGACACCTGTGGAGAGCACACAGGGGTGAATAAAATCCTCTTTAACTAAACCAGGATCCCT 936 107170320 TCCTCAGCCTTAGGACTAGGAAGCCCCTTA IGHV1-69_chr14:107170320- CCTGTAGCTGCTGCCACCACAAAGAGGAACCTCCAGGTCCAGTCCATGGTGATGAGCTGTGCTCCCAGGG 937 107170420 GCTTCTTCAGAGGAGGAATGTGGTTGTTAT IGHV1-69_chr14:107170420- GTGATGCTCTCAGGGCACCAATATATCTATATTTATCTCAGAAGACCTCAGGTTATTTGCATATGCATGAG 938 107170520 GCAGGGTATTTCACAGCTCAAAGCCTGAT IGHV1-69_chr14:107170475- TTTGCATATGCATGAGGCAGGGTATTTCACAGCTCAAAGCCTGATCTAGGATGAGAAAGAAAACACAGAT 939 107170575 GCCACATCAGCTGTACAAGTGTGGGATGCT IGHV1-69_chr14:107170660- CAGAACAAACCCCAACCCCAGGATGCACTCCTCACTGTGAACCCACATTTTATTGGCCTAAAGATTACCTG 940 107170760 GGTTTTTTGTGGGACCATTGCTGTCTCTG IGHV1-69_chr14:107170760- ACATTGAGCAGGCACCTAGACCCATCCTGGTCCCATTAGGAACACTCAGAGCTCACTGGTAACACTGAAA 941 107170860 AGGTGGCCACTCGTTACCCTACATGAGTGT IGHV1-69_chr14:107170860- CCAGCAGGACCCATGGAGAGTTCTGAGATCTGCTGGGCACTCCCAAGACAGGGTCCCCAGCACTTTCCTG 942 107170960 AGGGTCCTGACCTCCCAGGTCCTTCAGTGG IGHV2-70_chr14:107178305- TTATCCATTTCTTATGTGTTCTTTTGAAAATGTCTACTCATGTCCTTTGCTCATTTTAACGGAGTTATTTGGT 943 107178405 TCTTGTTGCTGTTGTTGTTGTAGAGTTG IGHV2-70_chr14:107178415- TTGCAAATTCTTCATATTAGTTCCCTGTCACAGGCAAAGTGTGCAAAAGTTTTCTGTCATTCTGAAAATTG 944 107178515 CGTATTCACTCTGTTGTTGTGAAAAAAAT IGHV2-70_chr14:107178515- TATTTAGGTTAATTAAATCTCATCTGTCTATTTTTTTTTTAGGTAGCAGGACCTTTCATGCTGAATCTTTGTC 945 107178615 AAACAGGATACAGCTTCTGCTTGCATGA IGHV2-70_chr14:107178615- ACCACTAACAGGGGACATGCCATTTATTAGTAAAGAAAAAGGAGGAAAACAAGGCTCTGAGTCAGATGG 946 107178715 GGATGGGAAACGCACGCCCTGGGCAGGAAAT IGHV2-70_chr14:107178715- GGCATCTCAGCCACACTATCCTGTTCTGCAGAAGTGGGGAGGGAGCACCACTGAAAAACACCTGGGTTCT 947 107178815 TGTACAGGAAGCGCCCTGGGCTGTGTCTCT IGHV2-70_chr14:107178815- GTGGTATCCGTGCACAATAATACGTGGCTGTGTCCACAGGGTCCATGTTGGTCATTGTAAGGACCACCTG 948 107178915 GTTTTTTGGAGGTGTCCTTGGAGATGGTGAG IGHV2-70_chr14:107178880- ACCTGGTTTTTGGAGGTGTCCTTGGAGATGGTGAGCCTGGTCTTCAGAGATGTGCTGTAGTATTTATCATC 949 107178980 ATCCCAATCAATGAGTGCAAGCCACTCCA IGHV2-70_chr14:107178980- GGGCCTTCCCTGGGGGCTGACGGATCCAGCTCACACACATTCCACTAGTGCTGAGTGAGAACCCAGAGAA 950 107179080 GGTGCAGGTCAGTGTGAGGGTCTGTGTGGG IGHV2-70_chr14:107179080- TTTCACCAGCGCAGGACCAGACTCCCTCAAGGTGACCTGGGATAAGACCCCTGTGGAGAAGACATAAGAA 951 107179180 GATGAAGCCCACAAAGGAGAGAATAGATTT IGHV2-70_chr14:107179130- CTGTGGAGAAGACATAAGAAGATGAAGCCCACAAAGGAGAGAATAGATTTTTTGCTTCTGAAGTACTACC 952  107179230 TGACCACAGCACTCACAGGACGGGACAGTC IGHV2-70_chr14:107179230- AGTAGCAGGAGCGTGGAACAAAGTATGTCCATGGTGGAGAGCAGGATTCACTGAGCGAGGCCCTGTCCT 953 107179330 CGTCTTTTGAACCCAGGGGAGGGTGGAGCTG IGHV2-70_chr14:107179330- GTGGAGATTTGCATCCCCTCATCTGAGCCCTACTCTATGGGGTGCACTCAGGTCTCAGGACTCAGTAGGG 954 107179430 AGTCCATCTGTGGTGAGCAGCAGTGAGCC IGHV2-70_chr14:107179360- TACTCTATGGGGTGCACTCAGGTCTCAGGACTCAGTAGGGGAGTGCATCTGTGGTGAGGAGCAGTGAGCC 955 107179460 CTCAGGTGTGGGGGTCCACGTGTGCTCTCC IGHV2-70_chr14:107179460- ATCAGGGAATCTATCTCATTTCAGCACCATGGCTCTGAGTCAAGTCTGACGCTCCTGCTTCTACAGACAG 956 107179560 GATCTTCTTCGATGCTCCCGCACCGGACA IGHV2-70_chr14:107179560- TGCAACCTTCTGGTTTTAGTCCTAGAGGATTAGAGTAGAAATCAAGAGAGCTGCCGTTCCTCCTCCCTTCA 957 107179660 AGAATAATGATGGTGGGCATCTGGGGGGC IGHV2-70_chr14:107179660- AAGGGGCTCCCCACAAGCATTCTGATCAAAATCCTCTTTGATTATGGGGAAAAGTGATGAATTTGTGTAA 958 107179760 AAAAATTGGAGAGAATAAATAAGAAAATAC IGHV2-70_chr14:107179760- AGTTACAAGTAATTATGTAAAGAAGTGTGTGCTTAGCAGTGTGTGTGCACACAGCTGCATTCCTAGAGGC 959 107179860 ATGTTCCATGAAAAATCGATGTTGTCCTTG IGHV2-70_chr14:107179860- TGCCCCGTCAGTTCTGTGGACAGAGTAGACTGCATCAATCACTTCCCTTTTCTCACCCCATGAATGAGCG 960 107179960 GATGCTTTGGACAAGGGAATTGGAAGACTC IGHV2-70_chr14:107179960- CTGAGGGAGCAGCAGGCTGACTGTTGCAGCCTTGCTCTGCACCTGCACTGGATGTGGTCTCTGTGCTCAT 961 107180060 AAGGCCGTGGAAACTCATCAATCCAGGTTC IGHV7-81_chr14:107258910- CAAAAAGGGGTTAAATGATTTTGGAAAAGTAAGTAGAAAATAAAAGAAGGAGGGAGTAAGAGCGGACA 962 107259010 GAAGGGAGGAAGGCAAGCAAGCAATGATGAAC IGHV7-81_chr14:107259010- TGTGTAAAATTTTCACTAATTTAAAAGACTATTATATTGAAGAGGTGCCTATTAGGCAGCCTTTTGATGTTA 963 107259110 ACCATGTAATATACACCATGAACAACCTT IGHV7-81_chr14:107259100- GAACAACCTTGTAGAACACACAAGAGCCCCCTCAGAGAACTGGATGGGTCAGGTCTCCCATCCAGTTGCC 964 107259200 TTAGGGGTTAGGAACGCTCCCATGTTGTTC IGHV7-81_chr14:107259200- TCTGGTTTTTGCTCCTGAGGACACAAACAGCCAGTGTTTCCTCCCCGGATGAATAGAGAGGCCCCTGGGG 965 107259300 AGGGTGTGTCTGGCAGCTCACTCTGCACCT IGHV7-81_chr14:107259235- GTTTCCTCCCCGGATGAATAGAGAGGCCCCTGGGGAGGGTGTGTCTGGCAGCTCACTCTGCACCTGCACC 966  107259335 GCGGAAGGTTTTAGATGGTCCCTCTCACAC IGHV7-81_chr14:107259335- AATAATACATGGCGGCGTCCGAGGCCTTCAGGCTGCTCCACTGCAGGTAGGCGGTGCTGCTGGAGCTGTC 967 107259435 GGCTGAGATGGTGACGTGGCCTTGGAAGGA IGHV7-81_chr14:107259435- TGGGCTGTATCTGGTATCAGAGTTCCCAGGATAGATGCTCCCCATCCACTCCAGTTCTTTCCCGGGCATCT 968 107259535 GGCGCACCCAGTGGATCCAGTAGCTGGTA IGHV7-81_chr14:107259555- ACAGGAGATCCTCAGAGACTCCCCGGGTCTTTTCACCTCTGCTGCAGACTGCAACAGCTGCACCTCGGCA 969 107259655 AAGACACCTGTGTGGGAGACACAAAATTTG CIITA_chr16:10971440-10971540 GTGTCTGGAGTATGAACCATGTATCAGCACCGAAAGGTTCTAGAAGTCAGACTTTCGGGCAGTGTGTCAC 970 TAACTCTCAGCATGCTGGCCTGGCTCGGCC CIITA_chr16:10971540-10971640 CACAGCAAGGTCTTCTCGCCTCCCTTTGGGTAAATACTGAGGGGTGCCTCTGCAGGACGGGACCTCTGCC 971 AGACTCCACTCCATACCCAGAGAAGCAGGG CIITA_chr16:10971640-10971740 AAACCAAAATTGGAGTCAGCCTTGAGGTGTAGCTGTTGAGCCCTCAGCAGCTGGGGAGAGCTGGCGGAT 972 GCTGCCCTCCCCCCAGTTTCCTAATGGTGTT CIITA_chr16:10971740-10971840 GTTTAAAAAGGGTCAGGGGACGGGGGAACAGATGGTGGGAAGAGCACAGTGCAGACACCTGGCACCGGC 973 TCTGAAGGCAGCATGGCAGCTACACCGTTGG CIITA_chr16:10971840-10971940 CTGGGAAGGGTGTGCCCCTGAAGAAGTCGTTTACATTCTCGAGTCAATTTTCCTGGAGTGTACAATGGAC 974 CTGTGGGAAAGCCTGTATGAAAGGGTAATG CIITA_chr16:10971940-10972040 ATGAGGGACCTAGCACAGTGTCCAATATTTTATAGGAACTGGAATTGAGCTCATAGGAGCTCAATTTTAT 975 TGGCATTGCTGTTGTTGGATGGTTAAAGGG CIITA_chr16:10972040-10972140 CTGGTATCCCTTTTCTCAGACTCCCCTGAAATGTATGGTTTGCTTTGAACCCAGAGACTGATGACAGGTCT 976 GCCGGTGTGGTTGGGTGCAGCCTTAAGTT CIITA_chr16:10972140-10972240 GCTACGGGAAAGTGTTGGAGGGGGAGAAGTCAGAGGTAACCTTGCCCCCTCCCTCAATTCCAGATGAGGA 977 AATTCAGGCCTGAAAAGGGAAAGTGACCAC CIITA_chr16:10972240-10972340 CTCAAAGTCTCATGCCTTGGAGGACCCAGCAGGAATCCAAGACCTCTGAAAAGGACCGGCAGGGCTCTTG 978 CCACGGCTGGGGGTGTGGTCATGGTAACAC CIITA_chr16:10972340-10972440 AGGTTTTCCATCCATGGAAGGTACCTGAGGGATTTTCTCTTCCTCCCTAGGGCCAGCATCAGAGGAGTGA 979 ATAGCTCAGTTAGCTCATCTCAGGGGCCAT CIITA_chr16:10972440-10972540 GTGCCCTCGGAGGTGGTTTGCCACTTTCACGGTTGCACTGAGTTGGAGAGAAACAGACACCCACCCAGGG 980 GTGGGGACAAGCTCCCTGCAACTCAGGACT CIITA_chr16:10972540-10972640 TGCAGATCACTTGCCCAAGTGGCTCCCTAGCTCCTGGCTCCTGGCCCGGGGCCTGGGACTCTCCCCGAAGT 981 GGGGCTGGCCACTGTGAGGAACCGACTGG CIITA_chr16:10972640-10972740 AGGCAGGGACCTCTTGGATGCCCCAGGCAGTTGGGATGCCACTTCTGATAAAGCACGTGGTGGCCACAGT 982 AGGTGCTTGGTTGCTCCACAGCCTGGCCCG CIITA_chr16:10972740-10972840 AGCTCAGCGCTGCAGAAAGAAAGTGAAAGGGAAAAAGAACTGCGGGGAGGCGGGGAGGTAGGATGACC 983 AGCGGACGAGCTGCCACAGACTTGCCGCGGCC CIITA_chr16:10972840-10972940 CCAGAGCTGGCGGGAGGGAGAGGCCACCAGCAGCGCGCGCGGGAGCCCGGGGAACAGCGGTAGGTGAC 984 CAAAGTCTCCTCTGTAACCCCTAAGGTCGGGC CIITA_chr16:10972940-10973040 TGAGAATCGAGGCTCCGAGACTGTCAGCTACTTGCTCAAGGTCACACAGCAAGTCTGGGAGGATGGGGG 985 GATGGAATATGCAAAATGTAGGGCCGGGAAA CIITA_chr16:10973040-10973140 CACCTCGTTTCCAGCATCCCCGCAACGACTCTGCGCGGGAACCAGGAGCCGGGAACCCGGAGCTTGGCTT 986 GCTGTGCCCAGAGCTCCGGGGCCGTGGGCG CIITA_chr16:10973140-10973240 GGTGGCAGGAAAGCCTGGCGGCAGCTTCTGCAGAGAAGCCGGAGCGCAGACTGGGAGCGCGGAGCAGAC 987 ACACTCCCCCGGCCACCCTTGGCCGACTCCG CIITA_chr16:10973240-10973340 CGCGCCCGGGATCCTGCAGAGGTGCGCGCCCTTCTTGTACGCCAGACTTTGGACCAGGGCCGCCGTTCCC 988 TGAGCTTCACTTTCCCTGTTGGGTCATATT CIITA_chr16:10973340-10973440 CCATCTCTAACTCTGGAATCTTGGGTATTGGGCTCTCCAGGCGGGGGGCCCTGCTCAGGGAGGCAGTAGG 989 GAGCCAAACCTTTAACCAGAGGATGGGATA CIITA_chr16:10973440-10973540 AGTCCTCAACTCTCGTTGAACATCTTGGCGAAGGTGTGTGTTGTTGGGAGGGGTGGGGGAGGGATCCCCC 990 CGGACTGAACCGATCTCTTGATCTCTCACT CIITA_chr16:10973540-10973640 TCTCTACCTCGCTTTGGGGCCCTGAGTCACACCCTCTAAGGAGAGAGGCTAAAGCGCCCCGGAAAGCCAG 991 CGTGCGAATGCCGGGGTGGGAGTGGGAGAT CIITA_chr16:10973640-10973740 TGGATCTCCCTGGGGTCCAGGAAAGCCGGAATCGGAGCCACCATGCTTAGCTTAGTCTGGAACTCTTAAA 992 AGCCGCGGTCCTCCTGAGTCCCACAGCCCC CIITA_chr16:10973740-10973840 TCTCCACCCTAGGTGGCACAGGAGAGGTGGCAAAAGCCTAGAAGTTCAAGGCATGGCTCCCTCCCCAGCC 993 GCAGCCTGGAGTGTCTAACTTTGGCAGGAA CIITA_chr16:10973840-10973940 GTCTTCCGTTTCTGCTCCCCACTCCAGAGAAAAAATAAATAAATACTTCTCCGGAGTGAGATTAAGGAAA 994 CAGGTACTTCTTCCTCTTGGAGAAAGAGGA CIITA_chr16:10973885-10973985 CTTCTCCGGAGTGAGATTAAGGAAACAGGTACTTCTTCCTCTTGGAGAAAGAGGAGCCAAAGGAACTTGA 995 CTCCAACAAATGATCACCTTGCAAACCCCC CIITA_chr16:10973985-10974085 GGCTCCCTTAGGGGATGACCTGGTCTCCAACAATCTCAGAGCGTTTGGAGGCAGGGTCTTTGGAGATGAC 996 TGAGTGGGGAATCCCAGGCTCCCCACACAT CIITA_chr16:10974085-10974185 GAACATCACCTGGGATGATCAACCTGTTCAGGATGTAGGTTCCCGGGCTCACCCCCAGGCCCGGTTGGCT 997 AGGCCTGGGGTGAGGCTGAGATCCTGCAGG CIITA_chr16:10974185-10974285 TTAAACCATCTATCCCAGGTGACTCCAATGTTCGTTTGTGGGGCAAAAGTCCCTCAAGTCAGAGACACTG 998 GGAGGCGCTGATGTGGTCFCATCTCTTTAC SOCS1_chr16:11348520-11348620 CAAGAGGTGAGAAGGGGTCTGCGGCCTCGTCTCCAGCCGAGGGCGGGAGGCGCCTCGCCCCTACACCCAT 999 CCGCTCCCTCCAACCCAGGCCGGGGAGGGT SOCS1_chr16:11348620-11348720 ACCCACATGGTTCCAGGCAAGTAATAACAAAATAACACGGCATCCCAGTTAATGCTGCGTGCACGGCGGG 1000 CGCTGCCGGTCAAATCTGGAAGGGGAAGGA SOCS1_chr16:11348720-11348820 GCTCAGGTAGTCGCGGAGGACGGGCTTGAGGGGGATGCGAGCCAGGTTCTCGCGGCCCACGGTGGCCAC 1001 GATGCGCTGGCGGCACAGCTCCTGCAGCGGC SOCS1_chr16:11348820-11348920 CGCACGCGGCGCTGGCGCAGCGGGGCCCCCAGCATGCGGCGCGGCGCCGCCACGTAGTGCTCCAGCAGCT 1002 CGAAGAGGCAGTCGAAGCTCTCGCGGCTGC SOCS1_chr16:11348920-11349020 CATCCAGGTGAAAGCGGCCGGCCTGAAAGTGCACGCGGATGCTCGTGGGTCCCGAGGCCATCTTCACGCT 1003 AAGGGCGAAAAAGCAGTTCCGCTGGCGGCT SOCS1_chr16:11349020-11349120 GTCGCGCACCAGGAAGGTGCCCACGGGCTCGGCGCGCAGCCGCTCGTGCGCCCCGTGCACGCTCAGGGGC 1004 CCCCAGTAGAATCCGCAGGCGTCCAGGAGC SOCS1_chr16:11349120-11349220 GCGCTGGCGCGCGTGATGCGCCGGTAATCGGCGTGCGAACGGAATGTGCGGAAGTGCGTGTCGCCGGGG 1005 GCCGGGGCCGGGACCGCGGGGCACGGCCGCG SOCS1_chr16:11349220-11349320 GGCGCGCGGGGGCCGCGGGCGAGGAGGAGGAAGAGGAGGAAGGTTCTGGCCGCCGTCGGGGCTCTGCTG 1006 CTGTGGAGACTGCATTGTCGGCTGCCACCTG IGHV3OR16-12_chr16:33523607- TTTAAAATCACCCAAATCAAAATAATTTTATCTTCATTAATAAATAATCATCAGAAGTTTAACTAATTTTT 1007 33523707 ACTTTATAATACTAGGTTTAAAAATTCTT IRF8_chr16:85933003-85933103 AATCTGAATGCCCAAGTCGTTGATTGTCGTTTGCCTGTTTCCAAAGATTGGTAGATAGATGCCTTTTTAAA 1008 AATCTCATTTTTCTTTAAATCTGGTTTAC IRF8_chr16:85933103-85933203 ATGGAAAACGTTAGGAGAGCTCATATAATGAACGGCAATAGCAACCCCCTATCTTGAAACGCGCTCTATC 1009 ATCCCACTGAAATTCTACCACGTGGAATAA IRF8_chr16:85933203-85933303 TGCTTGGAGGGTCAGAGTTGTGGAACTGCCCAATAACCAGTCGTTACTGAGGGTTAGTTTGTGAAGGAGG 1010 GGACAGACTGCTTCTAAAATTCTGTTTAAT IRF8_chr16:85933303-85933403 GACAGTCAATTAAGATTTCTGAGTCTGGCTTGAGGGCCTTTGCTTCCATCACAGCCCAGTCGTCCTTGGCA 1011 AGAGAGTCTGTATATGGGCCACAGCTCAC IRF8_chr16:85933403-85933503 AAAAGCATTGTTTGAAAAAATTTATTGAAAGAACATTGTTTGTAAAATGAGTCCCAATACATAGGACAGA 1012 CTTTCCTAAGGTGAGATGTGTTACTTACCC IRF8_chr16:85933503-85933603 AGAGCTGTGAAAGGCTTTACGGATGGAAACTAGAGACTGAATTTTCCAGAATTTTAAGAAGTCTCCCCAA 1013 CCAATGGCCCCCCACTTTCTTTTTTTAAAC BZRAP1_chr17:56408574-56408674 GGCGTGATCTCCGAAGCCCACAGTACACTCATCCATAAAGTAGGAAACACTACACCCTCCAGTGCTGTTA 1014 GTAGTGCTTTCTACTTTATGGGTGACTGCA BZRAP1_chr17:56408674-56408774 CTGTCTGTCTGTCCGTCGGCGTGTACTCTTCAGGCTGCCCAGGCCTCCTTGACTCCTGCTCCAAGAGCCCCC 1015 CAGCCCTCCTTGTGGCTTCCTAAGATCCC BZRAP1_chr17:56408884-56408984 CCCTCTTCCCTTCCCCCTAAAGGCTCCACCCCATCCCCCCAGTTTCAGAGACACTCAGGTAGAGACTAGGG 1016 CCTCTGGAGGCGCACCTTCAGTTCTGTG BZRAP1_chr17:56408984-56409084 AACCCCTGGCTGGCCGCTTCCAGCCACGCTAGCCACCCTCCAGCGTCCAAATGAGGCAGCCACAGCTCCC 1017 CTGCCAAGGTCTTGGTCTCCAGTCCACCCC BZRAP1_chr17:56409084-56409184 AACCGTGAGGTCCTGACTGCCCAGAGCCTCAQTCCCCACCCTTCAGCCTCCCCACCAGCCCAAGATCCTGA 1018 CCCCCCAGGGCCTAAGTCCCCAGCCTCCC BZRAP1_chr17:56409184-56409284 CAACAGCCCAGGGTCCTGACCCCCCAGGGCCTCAGGCCCTGGCCTCCCCACCAGCCCAAGGTCTTGAACA 1019 CACCAGGGCCTCAATTCCCAGCCTCCCCAC BZRAP1_chr17:56409284-56409384 CAGCTCAAGGTCCTGACTCCCCGAGAGCCTCAGTCCCAGCCTCCATAGCAGCCCAAGGTCCTGACCCCCCA 1020 GGGCCTCAGTCCCCAGCCACTCCACCAGC BZRAP1_chr17:56409384-56409484 CCCAAAGTCCTGACTCCCCAGAGCCTTGATTCTCGGCCTCCCCACCAGCCCAAAGTCCTGACTCCCTCACT 1021 GCCCTGCTGTTCCCCTGGCAGGAGCCCAA BZRAP1_chr17:56409484-56409584 GGCTATCCCAACAAAAATGGTGGCCATGTTGGGCGGAGGAAGAGGCTGGCGCCCCTTGAGACACTGGTCC 1022 CACTTCTCAGCCTCTGCGTACCCTCTGCCA BZRAP1_chr17:56409584-56409684 TCCCCGCCTTACTCTCCAGCCCTCCTCCTTGGACACCTCTTTCCCCGCCTGGGGTCCCGGAGCCATTTTACC 1023 TTCCTTCACTAGAGAGGGTTTCAAGGCG GNA13_chr17:63010240-63010340 CTAAGATTTTCAAGAAGTTAAACGTAGAATTAAGATTGTTCTAAATCTGGTTGTAAACTGCTAATTTAAAA 1024 AACAAAACAAACAGAAAACATCAAAAACA GNA13_chr17:63010315-63010415 AAACAAACAGAAAACATCAAAAACACAAAAAGATATTAAAACAGCAAGTCTTTTGTACATCACTGTAGCA 1025 TAAGCTGCTTGAGGTTGTCATGCAGAATAG GNA13_chr17:63010415-63010515 TATCCTTCACGTCACGGAAAACAAGGCGGATGTTCTCCGTGTTGATAGCAGTGGTGAAGTGGTGGTATAA 1026 GGGCTTCTGTTGCTGGTCCCGGCGTTTGTT GNA13_chr17:63010515-63010615 CCGGAAACATTCCACCAGGAATTTTTGGACGTCTCTTAAGCAGTGGGGATCCCCTTCAAATTCTAGGAAA 1027 TAGTCTTTGATGCTCACAATTTGCACCTTC GNA13_chr17:63010615-63010715 TCCTCAAGCAAGTCTGTCTTGTTTAAGAACAGAATTATGGAGACATTGCTGAAAACCCGGTTATTGACGA 1028 TTGTTTCAAAAATGTTCAGAGACTCTGTAA GNA13_chr17:63010715-63010815 GGCGATTGGTCAGTCGATCTTCCATAAGCACCTGGTCAAATTCACTTGAGGAAACAAGGAAAGTATTGA 1029 TGTCACACTGTCGAAACATTCAAACCAACG GNA13_chr17:63010815-63010915 TTTCCTTTCTGATCTCTGACCACTACATCAACCATTTTGAAAGGAACATTTTTTATTTCAAAGTCGTATTC 1030 ATGGATGCCTTTGCTGGGTCTTCTGGCA GNA13_chr17:63010915-63011015 AGCAGAATATCTTGTTGTGATGGAATATAATCCTGGAAAAGAAAAAACTTGTTTTATACCTATTAATCCCG 1031 AAGTAATGCGAATTTTTAATGGACTACTA 43717_chr17:75447868-75447968 TGTAAATATTTGGCCAACTAAGCTGAGTGGCTAAGTTCTCCTGCTGCCCGGAGCTTCTTGGAACATGTTTC 1032 CTTTTCGCAAGGGGTTTCCCTGGCTTCCA 43717_chr17:75447968-75448068 GGAGGGCCAGGAAGAAATTCGAATTGGCCACCGCTTTCTCTAAAATCACTCCGCTCAAGTTATCACCCCT 1033 CTGGGCTCCCGAAGACCGGCTGGCTGGAGG 43717_chr17:75448068-75448168 CTGGAGATAGTCTCAATGCTCGAAATGCCGTAACCGAAGCTCCCCGCGGCGCCGGCACTGGGATCCAGGG 1034 AGCTGCTGCTACAGCGCAGCTCTGGATTCC 43717_chr17:75448168-75448268 TGGATGTGTTGGATATGTGCAGGGCGTTCCTGGGAGGAGCGGGGAGGGAGGGTGCTGCTGGCGGGGCTG 1035 GTCTGCGTGTGCTTTGCTTCTCTACAATGGC 43717_chr17:75448268-75448368 ATGCTGCGTGTCGGCCATGCAGAGGCATGTCAGTGAGCAGGGGCTGAGGGATCTCCCTAACGGACCTGCT 1036 TTCAGAGGGTCTTTTCATCCTGGGAGAACC 43717_chr17:75448368-75448468 CCAGAGACTAAATCATGCAGCCAACGGGGTGGTCCCCGGCCTCAAAGCAGGGAGGGGCGAGGAGCTTTG 1037 TAGGCAATGCCATCTGCTCCTGAAACGCCGT ADCYAP1_chr18:1477565-1477665 CAGCCTCCTTAGTAGCTACCGCCTTAGTAAGTACCACTTAGTAAGTACCGCCTTAGTAACTACCACTTAGT 1038 AGCTACCTCCTTAGTAAGTACCACTTAGT ADCYAP1_chr18:1477665-1477765 AAGTACCTCCTTAGTAAGTACCACTTAGTACTACCACCACGCCTGGCTAATTTCGTATTTTTTTTTTTTTTAG 1039 TAGAGACGGGCTTTCTCCATATTGGTCA AC012123.1_chr18:30349775- AGGTCAGGCGCATACTGCATGCGGGTCTCGCGGTCGTGCTCCAGCCACAGCACGGACATCTGGAAGAGCG 1040 30349875 CCAGCTCCGACTCCACGGGGGGCGGCAGCG AC012123.1_chr18:30349875- AGTCCAGCAGGGCGCGCATCTCCTCGAAGTTGAGCAGCAGCACATCCTCCACCAGGTACTTGTTGGCCAG 1041 30349975 CTTCTTGGTCTCCTCCAGGCCGTGCAGCGC KLHL14_chr18:30349975-30350075 GGCGATCTTGCACACCTGCTTGTAGTTCTGCACCGAGATCTGGTCGTTGAGGAACTGCACGCAGAGCTTG 1042 GTGACCTGGGGGATGTGCAGGATCTTGCTG KLHL14_chr18:30350075-30350175 ACCGACAGCACCTCCTCCACCGTGTCCAGGGACAGGGTCACGTTGGCCGTGTAGAGGTACTCGAGCACCA 1043 GGCGCAGCCCGATGGACGAGCAGCCCTGCA KLHL14_chr18:30350175-30350275 GCACCAGGTTGTTGATGGCCCGGGGGCTGGTCAGCAGCTTGTCGTCGGGGGAGGAAGAAGGAGTCCCGG 1044 GCTCCTCCTGCGGCGGCGGCTGCTGCTGCTG KLHL14_chr18:30350275-30350375 TGACGGCTGCTGCTGCGGCGGCTGCTGCTGGTCCTTGGGGGCCCCCAGGCCGTCCTGGCCGCCGACCCCT 1045 CCCCCGAGAGGGGGGTGGCTGGAGAAGAGC BCL2_chr18:60806264-60806364 GAGACTTCAGCCGGAGCTGGCTATTCCAGAGATGGACCTCAGAGCATTCCTTAGTCTAATTACCTTCTGG 1046 GCTGGGGTAGAAGATGGTGTCTGGAGGGAA BCL2_chr18:60806364-60806464 GCACAGAACCAAGTTCCCTACTGCCGCACTAGCTATGCAAATACTGCAGGGCACCTGTGGGCTCATGTCC 1047 CTCCTGCAAGAAGGTGTGGTCAGTCCAGTA BCL2_chr18:60806464-60806564 ATTCAAAAGACGTACTTCTGAAATAGGTGGAGAAATGCATTTATAGCAAAAAGTGCTAAAAATATGTTAA 1048 TAGTTATGCTATTTGGTTCACCAGGTTAGT BCL2_chr18:60806564-60806664 GTAATAAACCATAACAAGAGAGACTAAAGGCCGTATCTATATGACCTTGAAATCTCATCTTCAGCGGGCT 1049 TATTCATTCAGTAACCAAACTATTTTTGTA BCL2_chr18:60806664-60806764 AGGTGCTGAGTATTTAGCTTAAAGCTAAATAAGACACATGCCCTGCCCTATAGTAACTGCTTGGTAATATT 1050 CCCAGTGGCTTCCATGGGCCTGATAATTT BCL2_chr18:60806764-60806864 TCTTAGTACTGAATTCAAAGCACTTTGTGTCTTGTCTGCAGGCCCATTTGCCCAGCAGTGGCCTTGCCAGG 1051 AGAGAACAGGCCCATGCTCCTGTCCTCAT BCL2_chr18:60983784-60983884 CAAACAAACAATTCAAGAAGAGGATTTAAATTTTAGAAATTTAAATTGGGGCATTTTAGTTAATCTTACTT 1052 TTAAACACCAAACAGTGGCATCAATATTT BCL2_chr18:60983884-60983984 TGTCAACTTTGGTCAAATAAGATCAGATGTTCACATCAATCATCTACTTTTCTTGGCCTTTTCTCTATTTGG 1053 CCTCCTAGTATGAGCACACTTTTGTAAAA BCL2_chr18:60983984-60984084 TGTAATAAAAACATGTGGTGTGCTTCTTGACATCTAATCCACTTGCAGTAATTTCTAGGCTTTTTGCTCCT 1054 GTTAGGTCCTATAAAATAATGACATTAGT BCL2_chr18:60984454-60984554 ATAGATACCTAGATGCAAATTTTTTTCAGCCGACCACAAAATTAGGTCCACTCTGAGTGGTGAAAAACAA 1055 AAGATTCTAACATTCTAGCAAACTGGTAAA BCL2_chr18:60984554-60984654 CCATACACAAATTATAGAATACAAAGAATGCAGCCGATGCAAATTCTGTCACTGACAAGGTAGCAAAGCC 1056 ATAGCCTGATACTCCTCAGGACACCTCATC BCL2_chr18:60984654-60984754 ACGCCCACTGGGAACATGGCACACACTGGAGATTCCAGTCCAAGGACTTTGGAATGTCAACTTAGCTCTT 1057 TACAAACACAACTAAGTTTTTCAGGGAAAA BCL2_chr18:60984754-60984854 AGACTTACATTGGTTTTCCTCTTTTGGAAAATTTTACCGATTGATGATGCCCTTGGTCTTCTGTGGAGTCT 1058 ATTCTTCTAATCGGGTTGTTCTCCAATTT BCL2_chr18:60984854-60984954 TAGTGTACAACGGGCTTGTTTCAGGGGAGCTTGTTTGGGATGCAGACTGTCAAGACCCAACCTGGTATCT 1059 GGTTCATAAGCAGTCCCTGAAACCTCCCTC BCL2_chr18:60984954-60985054 CGGTTCCAACAAGCTGCTCAAGCCAGGAAACGGTGGTCCTGGGGACTCCTGGACCTTCAGCTTGAGAAAC 1060 ACTGAAGGGGTACCATTTACCACCACATCC BCL2_chr18:60985054-60985154 TACTGGATTACAAACGCTAGATCTTTGGATCTCCACGACTAGCAAGCAAGTTAAAGACTTTTAGATGGCA 1061 GGCGTTATCGGTCAGGTTGGGAGTGAACGC BCL2_chr18:60985154-60985254 TTTGTCCAGAGGAGGAGGTAGGGACGCCGGGAAGCAACAACTCTGATTTTATTTCGCCGGCTCCACAGCC 1062 TCCCATTGCCCCAGGAGCCCACCCGCACTC BCL2_chr18:60985254-60985354 CAACCCCCGCATCTCGGACCTGTGGCCTCAGCCCAGACTCACATCACCAAGTGCACCTACCCAGCCTCCGT 1063 TATCCTGGATCCAGGTGTGCAGGTGCCGG BCL2_chr18:60985354-60985454 TTCAGGTACTCAGTCATCCACAGGGCGATGTTGTCCACCAGGGGCGACATCTCCCGGTTGACGCTCTCCAC 1064 ACACATGACCCCACCGAACTCAAAGAAGG BCL2_chr18:60985454-60985554 CCACAATCCTCCCCCAGTTCACCCCGTCCCTGAAGAGCTCCTCCACCACCGTGGCAAAGCGTCCCCGCGCG 1065 GTGAAGGGCGTCAGGTGCAGCTGGCTGGA BCL2_chr18:60985554-60985654 CATCTCGGCGAAGTCGCGGCGGTAGCGGCGGGAGAAGTCGTCGCCGGCCTGGCGGAGGGTCAGGTGGAC 1066 CACAGGTGGCACCGGGCTGAGCGCAGGCCCC BCL2_chr18:60985654-60985754 GCGGCGGCGCCGGGGGCAGCCGGGGTCTGCAGCGGCGAGGTCCTGGCGACCGGGTCCCGGGATGCGGCT 1067 GGATGGGGCGTGTGCCCGGGCTGGGAGGAGA BCL2_chr18:60985754-60985854 AGATGCCCGGTGCGGCGGGCGGCCCCCGGGGGCGCGGCGCCCACATCTCCCGCATCCCACTCGTAGCCCCT 1068 CTGCGACAGCTTATAATGGATGTACTTCAT BCL2_chr18:60985854-60985954 CACTATCTCCCGGTTATCGTACCCTGTTCTCCCAGCGTGCGCCATCCTTCCCAGAGGAAAAGCAACGGGG 1069 GCCAACGGCACCTCTCCCCCCAGCTCCCAC BCL2_chr18:60985954-60986054 CCCACGGCCCCCAGAGAAAGAAGAGGAGTTATAATCCAGCTATTTTATTGGATGTGCTTTGCATTGTTGG 1070 ACGAGGGGCTGTCTTCAATCACGCGGAACA BCL2_chr18:60986054-60986154 CTTGATTCTGGTGTTTCCCCCTTGGCATGAGATGCAGGAAATTTTTATTCCAATTCCTTTCGGATCTTTATT 1071 TCATGAGGCACGTTATTATTAGTAAGTA BCL2_chr18:60986154-60986254 TTGTTAATATCAGTCTACTTCCTCTGTGATGCTGAAAGGTTAAAGAAAAAACAAACTAATAAGTAAAAAA 1072 TCAGGTGCGTTTCCCTGTACACACTGAGTG BCL2_chr18:60986254-60986354 AAAGCAGGGCATACACACTACAACTAACACGGCTAAAAAGAATGTATTAAGCTGCCTGGAAATTAAATTT 1073 ACTCGAATGCACTTTAAGTAAAAAATCTCA BCL2_chr18:60986354-60986454 AAGGTTTCCATTGAAAGTTACATTAAACCAATTTCCTGTGCAGAGAACTTACTTGTATTTTTTAAGTACAG 1074 CATGATCCTCTGTCAAGTTTCCTTTTTGT BCL2_chr18:60986454-60986554 AAAACCAAAACAAATGCATAAGGCAACGATCCCATCAATCTTCAGCACTCTCCAGTTATAGCTGATTTGA 1075 AACTTCCCAATGAATCAGCAGTCGCGGGGA BCL2_chr18:60986554-60986654 GAGGGAGTAAAAATTAGGAGGATTTCCAGATCGATTCCCAGACTTCTGCTTCACAGAAATGTCAATCCGC 1076 AGGAATCCCAACCGGAGATCTCAAGAGCTC BCL2_chr18:60986654-60986754 GAGAAAAAAAAAAGGCAGCGGCGGCGGCAGATGAATTACAATTTTTAGTCCGGTATTCGCAGAAGTCCT 1077 GTGATGTTTTCCCCTTCTCGGCAATTTACAC BCL2_chr18:60986844-60986944 TGAAGGAGCCGGGGACGGAGGCAGGAATCCTCTTCTGATTAAACTCCGAACAGCAAATGCATTTTCCGAA 1078 AAGCTGCTGGATAAATGAAGGCAGGACGCG BCL2_chr18:60986944-60987044 CCTGGCCCGCCGGTGCCCAGCGCTAGAAGCCCGCGCTGTGTGTGGTGCGGCGAGGGGTGGGGAGAACGA 1079 GGTGGTGGGGGAGGGTTTTATTTTTTCCCTC BCL2_chr18:60987044-60987144 TTTTCCTAAAAAGGATGACTGCTACGAAGTTCTCCCCCCTGGACCCCCTCTTCCGCTGCACCCCACCGGCG 1080 CACCCCGCCTCCGGGCTGCGCACCCTTTC BCL2_chr18:60987964-60988064 GTGTGTGTCTCGCCTGGACCTTTTCTAGCCGTGTATGTGGGAGTGTGTGTGTCGCCTGGACCCTTTCTAGC 1081 CGTGTATGAGAGTGTGTACACGCGCCTAC BCL2_chr18:60988064-60988164 ACACACACACGTTGTGTTACCGGCGCTCGGCCGCCGGGGGAAGACCCAGGCCAATGCCGCCCCCCACCGC 1082 CCCCAGCAGTGGGACCTCAGCGCTGCCCTG BCL2_chr18:60988164-60988264 CTGTGAAGACAGGTGACTCTGCACGTTTTAAGCAATGTCTAGGGACGCCCCGAGCGTGGTGTTTACTTTC 1083 AAGTAGCTTCCTAGGTGTCCGCGCACTACA BCL2_chr18:60988264-60988364 CACGCACGCGCATCCCCGCCCGTGTCCACCTGAACACCTAGTCCGTGGCCCAGGCCATGCAGAACTCAGC 1084 GCTCCAGGGAAGGGGTTTATCAAGGGCTTT BCL2_chr18:60988364-60988464 ACGACAGTTTAAGTCAATGTTTTCCCTCTGTCCCTAACACCTTTTACACTGGTTTAGTGCTACACGATGAG 1085 GACTTCCATATAGTAACTTTCAGGCCCAC BCL2_chr18:60988464-60988564 CGTCCTAACGCTGGGGTGGGTGGGCTCCTAAAGGTCTCCACCTTTGCCTCGTAGCCAATCCTAGTTGGCCG 1086 CACTTTCTCAAATGAGGTACATAGATACA S1PR2_chr19:10340823-10340923 GTGTCTCCATGGAGATGGCAGCAGGACCCGACCCCGTGCTTGGCCCGCACTCTCGGCCTCCTTATCTTGGTTT 1087 AGCAATGCGCGGTATCCACGCTCGCTCGC S1PR2_chr19:10340923-10341023 GCGGGAGCCACGCCTCCTTCTCCCCCCCGCCCCCGAGACCGCCACACGCGCGGGGCCCCCACGTCTCCAAG 1088 CGGCACTGGAAGGATTCCTCTCCGTCCCGC S1PR2_chr19:10341023-10341123 CAGGGGTCCCGCCTCGAGATTCTGGGAAGACTGGGGGTGGGGGACCAGATCGCAGCAGCAGCTGCACCG 1089 CGAGTTCCGCGCCTGGCCGTGTCGCCCCACG S1PR2_chr19:10341123-10341223 AGGGGGACTGTGGGCTCAGCGCGTGGGGCCCGGAGCATCTGACAAGGACAGAGACAGAGGAGGGGGTG 1090 GAAATCCCCGGGTGAGTCAACCCGTGCCTGAG S1PR2_chr19:10341223-10341323 AAGGGGGCGAGTTCCGACGCTCCGCCCGGCTCGGGGCCACGCGAGGTCCGCGCCACGCGCGCCTTCACCC 1091 ACGACCCATCCCTGAGCCGGAGTTGAAAGA S1PR2_chr19:10341323-10341423 GGAGGCCTTCTGAGCCACGCAGTCACTTTCTCTTTCCTTACAAAACAAAGCCACGCCCCCCGCCGGGGGAC 1092 CGGAGGAGGCAAACAACTTGGGGAAACCGA NCOA3_chr20:46131072-46131172 CCCACTTTCCCCTTCTGTCCCTAAAGTTTTTTCTTCCTCTTGCCTCCCCCAGCCCTTTTGAAAGCTCCCCGC 1093 GTCGTCCTCCTGCTGCCCCGGCTCCTTA NCOA3_chr20:46131172-46131272 GCAGCTTCTGGGACGCACGGGAGGGAAAAGCCGCGGGGACCCCCCCCACCCCAGCCTCCCAGCCGGGTG 1094 AGATTTGGTTGCTGTGTTTCCTCCTCACTTG NCOA3_chr20:46131217-46131317 CCACCCCAGCCTCCCAGCCGGGTGAGATTTGGTTGCTGTGTTTCCTCCTCACTTGGGCATTTAAAAAATAT 1095 TTTAACACGAATTGTCCGCGGAATTTTCA IGLV4-69_chr22:22380472-22380572 CATGGCCTGGACCCCTCTCCTCCTCCAGCTTCTCACCCTCTGCTCAGGTGACTGCCTGTGGAATGCCAAAG 1096 TGATTATTGGGGACACATGGGATGACTTT IGLV4-69_chr22:22380572-22380672 TCTCTTATATTTTAACATTGTGGGGTGGGTAGTGAACCCAGACTCACCTCTCTGTGCCTGCCTCCTCTGTT 1097 CCAGGGTCCTGGGCACAGTCTGCGCTGAC IGLV4-69_chr22:22380672-22380772 CCAGGAAGCCTCGGTGTCAGGGACCGTGGGACAGAAGGTCACCCTCTCCTGTACTGGAAACAGCAACAAC 1098 GTTGGAAGTTATGCTGTGGGCTGGTACCAA IGLV4-69_chr22:22380772-22380872 CAGATTTCTCACGGTGCTCCCAAAACTGTGATGTTTGGAAATTCTCTGCCCTCAGGGATCCCTGACCGCTT 1099 CTCTGGCTCAAAGTCTGGGACCACAGCCT IGLV4-69_chr22:22380872-22380972 CCCTGACTATCTCGGGCCTTCTAGCCTGAGCACGAGGCTGATTATTACTGTTCAACATGGGACTACAGCCTC 1100 AGTGCTCACACAGTGCTGCAGGCACATGG IGLV4-69_chr22:22380972-22381072 GGAACCGAGACAAAAACCTGCCCTTGGCCTGTCCCGAGGCTGATCACTCCATACTTGCCTATGACAAACA 1101 AAGAGGGTGCCTGTGGCTGATCGTACAGTT IGLV4-60_chr22:22516707-22516807 GAAATGTTGTTTGCTCTTGTCCTTCCTTCAGGCCATAATGAGCGTCTCTGTTTTCAGGGTCTCTCTCCCAGC 1102 CTGTGCTGACTCAATCATCCTCTGCCTC IGLV4-60_chr22:22516827-22516927 TCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGTAGCTACATCATCGCATGGCATCAGCAGCAGCCAGG 1103 GAAGGCCCCTCGGTACTTGATGAAGCTTGA IGLV4-60_chr22:22516927-22517027 AGGTAGTGGAAGCTACAACAAGGGGAGCGGAGTTCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAC 1104 CGCTACCTCACCATCTCCAACCTCCAGTTT IGLV4-60_chr22:22517027-22517127 GAGGATGAGGCTGATTATTACTGTGAGACCTGGGACAGTAACACTCACACAGTGATACAGGCAGATGAG 1105 GAAGTGGGACAAAATCCTCAACCTGCTGAGG IGLV1-51_chr22:22677077-22677177 AAGGTCACCATCTCCTGCTCTGGAAGCAGCTCCAACATTGGGAATAATTATGTATCCTGGTACCAGC 1106 AGCTCCCAGGAACAGCCCCCAAACTCCTCATTT IGLV1-51_chr22:22677177-22677277 ATGACAATAATAAGCGACCCTCAGGGATTCGTGACCGATTCTCTGGCTCCAAGTCTGGCACGTCAGCCAC 1107 CCTGGGCATCACCGGACTCCAGACTGGGGA IGLV5-48_chr22:22707517-22707617 TCAGCCAGACTCACCTGCACCTTGCGCAGTGGCATCAATCTTGGTAGCTACAGGATATTCTGGTACCAGC 1108 AGAAGCCAGAGAGCCCTCCCCGGTATCTCC IGLV5-48_chr22:22707617-22707717 TGAGCTACTACTCAGACTCAAGTAAGCATCAGGGCTCTGGAGTCCCCAGCCGCTTCTCTGGATCCAAAGA 1109 TGCTTCGAGCAATGCAGGGATTTTAGTCAT IGLV1-47_chr22:22712077-22712177 AGAGATCTGGGCGAAGCTCAGCTTCAGCTGTGGTAGAGAAGACAGGATTCAGGACAATCTCCAGCATGG 1110 CCGGCTTCCCTCTCCTCCTCACCCTCCTCAC IGLV1-47_chr22:22712177-22712277 TCACTGTGCAGGTGACAGGATGGGGACCAAGAGAGGGGCCCTGGGAAGCCCATGGGGCCCTGCTTTCTCC 1111 TCTTCTCTCCTTTCGTCTCTTGTCAATCAC IGLV1-47_chr22:22712277-22712377 CATGTCTGTGTCTCTCTCACTTCCAGGGTCCTGGGCCCAGTCTGTGCTGACTCAGCCACCCTCAGCGTCTG 1112 GGACCCCCGGGCAGAGGGTCACCATCTCT IGLV1-47_chr22:22712377-22712477 TGTTCTGGAAGCAGCTCCAACATCGGAAGTAATTATGTATACTGGTACCAGCAGCTCCCAGGAACGGCCC 1113 CCAAACTCCTCATCTATAGTAATAATCAGC IGLV1-47_chr22:22712477-22712577 GGCCCTCAGGGGTCCTGACCGATTCTCTGGCTCCAAGTCTGGCACCTCAGCCTCCCTGGCCATCAGTGGG 1114 CTCCGGTCCGAGCATGAGGCTGATTATTA IGLV7-46_chr22:22723897-22723997 ATTTGCATAAAGCAGCACACAGCACACCCCCTCCGTGCGGAGAGCTCAATAGGAGATAAAGAGCCATCAG 1115 AATCCAGCCCCAGCTCTGGCACCAGGGGTC IGLV7-46_chr22:22723997-22724097 CCTTCCAATATCAGCACCATGGCCTGGACTCCTCTCTTTCTGTTCCTCCTCACTTGCTGCCCAGGTTAAGA 1116 GAGATTTCAAATACCAGCCTTTGGAGGGA IGLV7-46_chr22:22724097-22724197 TCCCTTTTTCTCCCTTTCTAATTCCTAATATATGTCTGTTTTTTTTGTTTCAGGGTCCAATTCCCAGGCTGTG 1117 GTGACTCAGGAGCCCTCACTGACTGTG IGLV7-46_chr22:22724207-22724307 GGACAGTCACTCTCACCTGTGGCTCCAGCACTGGAGCTGTCACCAGTGGTCATTATCCCTACTGGTTCCAG 1118 CAGAAGCCTGGCCAAGCCCCCAGGACACT IGLV7-46_chr22:22724307-22724407 GATTTATGATACAAGCAACAAACACTCCTGGACACCTGCCCGGTTCTCAGGCTCCCTCCTTGGGGGCAAA 1119 GCTGCCCTGACCCTTTTGGGTGCGCAGCCT IGLV7-46_chr22:22724407-22724507 GAGGATGAGGCTGAGTATTACTGCTTGCTCTCCTATAGTGGTGCTCGGCACAGTGACAGACCCATGAGAG 1120 GAACCAAGACATAAACCTCCCTCGGCCCTT IGLV5-45_chr22:22730452-22730552 GGTCAGCCACCCAGCCTGATTCTGACTCTTCTGGCAAAGATCCCTGAAAAACTTTACCCTGGTTTCTGCCT 1121 TAGCACCCATTAATGTCTGTGTTTCCAGG IGLV5-45_chr22:22730552-22730652 TTCCCTCTCGCAGGCTGTGCTGACTCAGCCGTCTTCCCTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCA 1122 CCTGCACCTTGCGCAGTGGCATCAATGTT IGLV5-45_chr22:22730607-22730707 GCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTTGGTACCTACAGGATATACTGGTACC 1123 AGCAGAAGCCAGGGAGTCCTCCCCAGTATC IGLV5-45_chr22:22730707-22730807 TCCTGAGGTACAAATCAGACTCAGATAAGCAGCAGGGCTCTGGAGTCCCCAGCCGCTTCTCTGGATCCAA 1124 AGATGCTTCGGCCAATGCAGGGATTTTACT IGLV5-45_chr22:22730887-22730987 ACAGATGGGGAAGTGGGACAAAAACCTCACCCTGCTCTGGGTCTTTTGCTCTGTACCAATTTTTAAATTTTAA 1125 AATAACTGGCCTAGGCACAAACTATATTT IGLV1-44_chr22:22735417-22735517 GCCCAGTCTGTGCTGACTCAGCCACCCTCAGCGTCTGGGACCCCCGGGCAGAGGGTCACCATCTCTTGTTC 1126 TCCAAGCAGCTCCAACATCGGAAGTAATA IGLV1-44_chr22:22735517-22735617 CTGTAAACTGGTACCAGCAGCTCCCAGGAACGGCCCCCAAACTCCTCATCTATAGTAATAATCAGCGGCC 1127 CTCAGGGGTCCCTGACCGATTCTCTGGCTC IGLV1-44_chr22:22735792-22735892 TGCTGCTCAGGCCTGGCCTGTGGCTTCTGCTGCTGCAGCTTCCTTCATGGGTCCAGGGGCATCCAGGGCCC 1128 TGCCTGAGAGTGGAGGCTCCTCCTCCCCT IGLV7-43_chr22:22749602-22749702 TCCAGCACTGGGCAGTCACCAGTGGTTACTATCCAAACTGGTTCCAGCAGAAACCTGGACAAGCACCCA 1129 GGGCACTGATTTATAGTACAAGCAACAAAC IGLV7-43_chr22:22749732-22749832 CCCTCCTTGGGGGCAAAGCTGCCCTGACACTGTCAGGTGTGCAGCCTCAGCACGAGGCTGAGTATTACTG 1130 CCTGCTCTACTATGGTGGTGCTCAGCACAG IGLV7-43_chr22:22749832-22749932 TGACAGACTCATAAGAGGAACCAAGACATAAACCTCCCTCGGCCCTTGTGATGTGGAGATTGTGTGATCA 1131 TACACACCAGCTCTCAAGACAGCCTACATG IGLV7-43_chr22:22749857-22749957 ACATAAACCTCCCTCGGCCCTTGTGATGTGGAGATTGTGTGATCATACACACCAGCTCTCAAGACAGCCTA 1132 CATGTGGACCAGCCATAGAAAGGGGAAGC IGLV7-43_chr22:22749942-22750042 ATAGAAAGGGGAAGGAAAGGGTCTGAATTGATTTCTATCCCTCCTTGTGCCCTGAAGTGGAGGAAATGTG 1133 AGAGTGATTTGCAGTAATTGAATGAGACAA IGLV7-43_chr22:22750042-22750142 AGCAAAAGTTATTTGTTTTATATGAAAAAAAAAAACAGAAACAGCAGGATCAGATCTAAAGGCTGAGTCT 1134 AAATGCATTTCCTCCAGACAGAAGCTTCTT IGLV7-43_chr22:22750092-22750192 CAGATCTAAAGGCTGAGTCTAAATGCATTTCCTCCAGACAGAAGCTTCTTCAAACGATGGGCTTTCTGAG 1135 CTAAGAGCAAAGAAAATAAACTCTCCACGG IGLV7-43_chr22:22750192-22750292 GTATATTATTAAAGTTTATTTTATTGAGTTACTTTCAAAGCAATCCATGACTATTATATAAAGTCAGAAAG 1136 TATTAAAAATCACCAAGTTCTCTGCTAAG IGLV7-43_chr22:22750292-22750392 CTACCTTATCCCATGCAATCAAAATAAGTACTTTTCTTCATTTGGATGCATTTTTTATTTCTGTTTTTAATA 1137 TTTCCACAATGGTGATTAAACCTGGTGC IGLV1-40_chr22:22758647-22758747 ACAGGGTCAGGGGAGGGGTCCAGGAAGCCCATGAGGCCCTGCTTTCTCCTTCTCTCTCTAGACCAAGAAT 1138 CACCGTGTCTGTGTCTCTCCTGCTTCCACG IGLV1-40_chr22:22758747-227S8847 GTCCTGGGCCCAGTCTGTGTTGACGCAGCCGCCTTCAGTGTCTGCGGCCCCAGGACAGAAGGTCACCATC 1139 TCCTGCTCTGGAAGCAGCTCCGACATGGGG IGLV1-40_chr22:22758847-22758947 AATTATGCGGTATCCTGGTACCAGCAGCTCCCAGGAACAGCCCCCAAACTCCTCATCTATGAAAATAATA 1140 AGCGACCCTCAGGGATTCCTGACCGATTCT IGLV1-40_chr22:22758947-22759047 CTGGCTCCAAGTCTGGCACCTCAGCCACCCTGGGCATCACTGGCCTCTGGCCTGAGGACTAGGCCGATTA 1141 TTACTGCTTAGCATGGGATACCAGCCTGAG IGLV1-40_chr22:22759047-22759147 AGCTTGCACAGTGCTCCAGGCCAATGGGGAACTGAGACAAGAACCCTCTTCCTCCTCCGCCAGGAGGGTG 1142 AGTGCCTGCAGCTGCTGCTCACACCTGACC IGLV1-40_chr22:22759147-22759247 TGTAGCTTCTGCTGCTGTAGCTTCCCCCATGGGCCTCGGGGCATCCAGGGCCTTGCCTAGGACTGGAGGC 1143 TCCACCACTTTTGTCCTCAGAGTCAGGAAC IGLV1-40_chr22:22759247-22759347 AGGGACCCCAGGAGACAGAATATCCTGCTCCTCAGCTTGGGACACAGGGTCTCTGCACTGAAATCGTGGG 1144 CTGAGGTGGCAGGTCCAACTGTGTCTTCAC IGLV1-40_chr22:22759297-22759397 CTCTGCACTGAAATCGTGGGCTGAGGTGGCAGGTCCAACTGTGTCTTCACAGTCCTTCCTGTGCCTGCCCA 1145 TGGTGTGGGGACGGAGTGAGGAAGTGTGG IGLV1-40_chr22:22764167-22764267 TCCTCACTCTCCTCGCTCACTGCACAGGTGACTGGATACAGGTCCAGGGGAGGGGCCCTGGGAAGCCTAT 1146 GGATTCTTGCTTTCTCCTGTTGTCTCTAGA IGLV1-40_chr22:22764267-22764367 AGCCGAATAATGATGCCTGTGTCTCTCCCACTTCCAGGGTCCTGGGCCCAGTCTGTGCTGACGCAGCCGCC 1147 CTCAGTGTCTGGGGCCCCAGGGCAGAGGG IGLV1-40_chr22:22764367-22764467 TCACCATCTCCTGCACTGGGAGCAGCTCCAACATCGGGGCAGGTTATGATGTACACTGGTACCAGCAGCT 1148 TCCAGGAACAGCCCCCAAACTCCTCATCTA IGLV1-40_chr22:22764552-22764652 CTCCAGGCTGAGGATGAGGCTGATTATTACTGCCAGTCCTATGACAGCAGCCTGAGTGGTTCCACAGTGC 1149 TCCAGGCCCGGGGGGAACTGAGACAAGAAC IGLV2-23_chr22:23040452-23040552 GCTCCTCACTCTCCTCACTTAGGACACAGGTGACGCCTCCAGGGAAGGGGTCTTGGGGACCTCTGGGCTG 1150 ATCCTTGGTCTCCTGCTCCTCAGGCTCACC IGLV2-23_chr22:23040592-23040692 TTCCAGGGTCCTGGGCCCAGTCTGCCCTGACTCAGCCTGCCTCCGTGTCTGGGTCTCCTGGACAGTCGATC 1151 ACCATCTCCTGCACTGGAACCAGCAGTGA IGLV2-23_chr22:23040692-23040792 TGTTGGGAGTTATAACCTTGTCTCCTGGTACCAACAGCACCCAGGCAAAGCCCCCAAACTCATGATTTATG 1152 AGGGCAGTAAGCGGCCCTCAGGGGTTTCT IGLV2-23_chr22:23040792-23040892 AATCGCTTCTCTGGCTCCAAGTCTGGCAACACGGCCTCCTGACAATCTCTGGGCTCCAGGCTGAGGACG 1153 AGGCGATTATTACTGCTGCTCATATGCAG IGLV2-23_chr22:23040852-23040952 GCTGAGGACGAGGCTGATTATTACTGCTGCTCATATGCAGGTAGTAGCACTTTCCACAGTGGTCCAAGTT 1154 CATGGGGAACTGAGACCAAAACCTGCCCAG IGLV2-23_chr22:23040952-23041052 GGCCTTCAGACTTCCTCCTTGCTCTGAAGATGCTTCCTCACCCGGTGCAAGAGGCTTGCTGCAGCGCGGCC 1155 TTGAGAATTCTTCTCTCTCAGCTCCTTCC IGLV2-23_chr22:23041052-23041152 CTTTCCACCATGAATTCCAACAGGAAACCTGCCCTGTGGTTTCCCATCCAGGACAGGGACAGCTTCCTGAT 1156 GCTTGTGTGCTGTGGTCCCTGAATGTGCA IGLV2-23_chr22:23041152-23041252 ACTCTTCCCAGCTCTTCAAATGCAGGGACAGTGACAAGGAGCTGCCTGATTGGTGCAGTCACTGCTTTTTT 1157 CAGGGATGTCTTCACCCTACATGTATCAT IGLV2-23_chr22:23041252-23041352 CATCCCCTACACTGTGGGTAGAATTTTAGCAACTACATTCTAATGGTTATCGCCACAACTTTGATCTTAGA 1158 AATAACAGTGCAGTGAACATCCCTATGCA IGLV2-23_chr22:23041352-23041452 GGCTCCTTTGAGTTCCTGTGTGAATACGACCATAGGATTCATTTCTAAAAGTGAAATTGCGGGTCAGAAA 1159 GATGTGTGTTTGTGATTTTCACCCAATGTT IGLV3-21_chr22:23055497-23055597 ACCAGCAGAAGCCAGGCCAGGCCCCTGTGCTGGTCGTCTATGATGATAGCGACCGGCCCTCAGGGATCCC 1160 TGAGCGATTCTCTGGCTCCAACTCTGGGAA IGLV3-21_chr22:23055727-23055827 CCCAGCCTCGGTCACCCTCTTGCTCCAGCCCCGGGAAGCCTGTTGATAAAGCCATGAGTGAATCTGGCCC 1161 AGTTCACCTGGATCTGAGCCTTTCAGGTTG IGLV3-21_chr22:23055827-23055927 CCCTTCCCTCCAGCCCCCTCCAGGAGTCTCTACAGAAGATACATCAGGCATAAATATGGCCTGGAAGGGC 1162 CAGAATCATCTGGTGACTTGGGGCTGTTGT IGLV2-14_chr22:23101392-23101492 GGTCCTGGGCCCAGTCTGCCCTGACTCAGCCTGCCTCCGTGTCTGGGTCTCCTGGACAGTCGATCACCATC 1163 TCCTGCACTGGAACCAGCAGTGACGTTGG IGLV2-14_chr22:23101532-23101632 AAAGCCCCCAAACTGATGATTTATGAGGTCAGTAATCGGCCCTCAGGGGTTTCTAATCGCTTCTCTGGCTC 1164 CAAGTCTGGCAACACGGCCTCCCTGACCA IGLV3-10_chr22:23154347-23154447 AGGCTCAGTGCCCATAGACCCCAAGTTGGCCCTGCCCTGAACCCTGTGCAAAGCCCAGACACAGTCTTAG 1165 GGTAGGACCCCTGGGAATGGGCTCTTGATC IGLV3-10_chr22:23154447-23154547 TTCAAGCCCCCTCTCCTGTTTTCCTTGCAGTCTCTGAGGCCTCCTATGAGCTGACACAGCCACCCTCGGTG 1166 TCACTGTCCCCAGGACAAACGGCCAGGAT IGLV3-10_chr22:23154597-23154697 AGAAGTCAGGCCAGGCCCCTGTGCTGGTCATCTATGAGGACAGCAAACGACCCTCCGGGATCCCTGAGAG 1167 ATTCTCTGGCTCCAGCTCAGGGACAATGGC IGLV3-10_chr22:23154697-23154797 CACCTTGACTATCAGTGGGGCCCAGGTGGAGGATGAAGCTGACTACTACTGTTACTCAACAGACAGCAGT 1168 GGTAATCATAGCACAGTGACACTGGCAGAT IGLV3-10_chr22:23154797-23154897 GGGGAAGTGAGACACAAACCCCTTCTTCATCTATITTACCCTCTCCCTCCAGCCCCAGGACCGCTGTGGAC 1169 CAACCCATAAGCAGGTCTGGCAGAATTCA IGLV2-8_chr22:23165422-23165522 AGGCTCACCTGGGCCCAGCACTGACTCACTAGACTGTGTTTCTCCCTTTCCAGGGTCCTGGGCCCAGTCTG 1170 CCCTGACTCAGCCTCCCTCCGCGTCCGGG IGLV2-8_chr22:23165542-23165642 CATCTCCTGCACTGGAACCAGCAGTGACGTTGGTGGTTATAACTATGTCTCCTGGTACCAACAGCACCCA 1171 GGCAAAGCCCCCAAACTCATGATTTATGAG IGLV2-8_chr22:23165642-23165742 GTCAGTAAGCGGCCCTCAGGGGTCCCTGATCGCTTCTCTGGCTCCAAGTCTGGCAACACGGCCTCCCTGAC 1172 CGTCTCTGGGCTCCAGGCTGAGGATGAGG IGLV2-8_chr22:23165727-23165827 AGGCTGAGGATGAGGCTGATTATTACTGCAGCTCATATGCAGGCAGCAACAATTTCCACAGTGTTTTAAG 1173 TCAATGAGGAAGTAAGATCAAAACCTGCCC IGLV4-3_chr22:23192412-23192512 TCAGGCTCAGAACCCATAGGATCCTGAGCTGGGCCTGCCCAAACATGAGTTCATCCCAGGCACAACCTCA 1174 GGGTGGGACCCCCTGGGAACAGATTCATCA IGLV4-3_chr22:23192512-23192612 TTTACAAGCCTCCTCTCCTGTCCTCTCTTGCAAGCTCCTATGAGCTTACACAGCCACCCTTCAGTGTCAGTG 1175 TCACCAGGACAGGCAGCCATGATCACCTG IGLV4-3_chr22:23192612-23192712 CTCTTGAGATAACCTCAAAGATGAGTATGTTTACTGGTTCTGGCAGAAGCCAGACCAGGCCCATACTGGT 1176 GATATATGAAGGCAGCAAGCGGCCCTCAGG IGLV4-3_chr22:23192712-23192812 AATTTCTGATTTTCTGAGTCCAGCTCAGGGAACATGGCCACCCTGACCATCAGCAGGGCTCAGACTGAGG 1177 ACGAGGCTGACTATTACTGTCACAGGTACA IGLV4-3_chr22:23192812-23192912 ATAGAAACAGTGATGAGCCCACAGTGACACAGGCAGATTAGGAAGTGAGACACAAACCCCTTCCCAATCT 1178 GTGTCACCCTCTTTCTCCAGCCCCAGGATG IGLV4-3_chr22:23197917-23198017 GGGATGAGAAGGGACCAGGGGCCTGGGATTGAGCTGTGAAGGGAACCAAAAGGCAGGAGGGACAGGGC 1179 AGGGGCTGTCAGCTATGACTCAGGGGAGGTTC IGLV4-3_chr22:23198017-23198117 CTGGGCCTCAGGATCCTCCCTCTGAGGCCACCAGGGGGCGGGGGTGGCACATGCCTGGACCTGGGAGGTC 1180 CCTGCTGGGCTTCACCCTGGGTGGGTCCTA IGLV4-3_chr22:23198067-23198167 ATGCCTGGACCTGGGAGGTCCCTGCTGGGCTTCACCCTGGGTGGGTCCTAGGAGCTCCTTCCTCCTAAGTC 1181 CCCCTAAAGAGACAGAGGCATTCTGGGGT IGLV4-3_chr22:23198167-23198267 CCTAAATCTGTCATGCCCCCATAAATGCATTTTTACGAGGGCCAATAAATGAACTCCAGGTTTATCCAAGC 1182 AGCAGCTTCAGGCGTCTGCAGACACAGAG IGLV4-3_chr22:23198267-23198367 CGGGGAGGAATTAGCCAACCTGAGGCACCCTAGAAGGGCTGAAGGGGGCTGAAGGGGACTGAAGGGTCC 1183 CTGTGGGGCCTGTGGTCCTGGGGAGGGGAGA IGLV4-3_chr22:23198367-23198467 GCTGGGGTGTCTCCCAGCCACTCTGGGCCCTGTCCTGACACTTCTCCCACAAAGAAGGGAAGGGAAATCC 1184 TGGGACCCCACAGCCAGGACCAACCGTGAA IGLV4-3_chr22:23198467-23198567 CCACAGGACAGGAAGGACAGGGACCCCCAAGGCTGGCTCCATTTCCCAGGCACTGTCATGGGCTGAGTCT 1185 CAGGAAATCCAAGTCAAGGAGTTTCAATCC IGLV4-3_chr22:23198587-23198687 CCAAGCAAACAGAAGTCTACGGGCCCAGGCCCAGGTGAGGGTGGGGTAAGAAGAGGAGCTTAGGATGCA 1186 GATTTGCATGGAGGCCCCGCCCTCCTCTGAG IGLV4-3_chr22:23198687-23198787 GCATCAGGGTAAGACAAGGCTGGGGGCAGGCCCAGTGCTGGGGTCTCAGGAGGCAGCGCTCTGGGGACG 1187 TCTCCACCATGGCCTGGGCTCTGCTTTCTCCT IGLV4-3_chr22:23198797-23198897 CTCAGGGCACAGGTGACGCCTCCAGGGAAGGGGCCTCGGGGACCCTTGGGCTGATCCTTGGTCTCCTGCT 1188 CCTCAGGCTCACCTGGGCCCAGCACTGACT IGLV4-3_chr22:23199022-23199122 TTGGGAGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAA 1189 TGTCAATACTCAGCCCTCAGGGGTCCCTGA IGLV4-3_chr22:23199122-23199222 TCGTTTCTCTGGCTCCAAGTCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAG 1190 GCTGATTATTAGTGCTGCTCATATACAAGC IGLV4-3_chr22:23199182-23199282 TGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTAACCACAGTGGTCCAAGTTC 1191 TTGGGGAACTGAGACGAAAACCTGCCCTGG IGLV4-3_chr22:23199277-23199377 CCTGGGCTCTCAGGCTCCCTTTTTGCTCTGAAGATGTTTCCTCACCCAGTGCAACGGGCTTCCTGAAGCAC 1192 AGCCTTGAGAATTCTTCTCTCCTCAGCAAC IGLV4-3_chr22:23199377-23199477 TCTCTTTTCCCACCATGAAATCCAAAGCAAACCTGCTCTGTGGTTTCTCATCCAGGACAGGGACAGCTTCC 1193 TTTTGCTTGTGTGTTGTGGTCCCTGAGTG IGLV4-3_chr22:23199477-23199577 GGTGCAACTCTTCCTAGCTTTTTAAATTATGGGAGGGTGACAATGAGCTCCCTGACTGGTGCAGTCCCTGC 1194 TGTTTTCAGGAACATCCTCATCCTAAATG IGLV4-3_chr22:23199577-23199677 CATCTGAATCTCCCACTGTGTGCAGACCAATCTGGACAGATGTTATTAGGGGGAGTTTCCAGAAGCCACA 1195 TCTTACTCAACTCTGTATCCACCACACTCT IGLV3-1_chr22:23222927-23223027 TGCCTCAGCCATGGCATGGATCCCTCTCTTCCTCGGCGTCCTTGCTTACTGCACAGGTGCTGCCCCTAGGG 1196 TCCTAGCCACTGGTCCAGTCCCAGGGCTC IGLV3-1_chr22:23223027-23223127 TGGGTCCAGCCTGGCCCTGACTCTGAGCTCAGCAGGGCCCCCGCCTGTGGTGGGCAGGATGCTCATGACC 1197 CTGCTGCAGGTGGATGGGCTCGGCGGGGCT IGLV3-1_chr22:23223077-23223177 TGGGCAGGATGCTCATGACCCTGCTGCAGGTGGATGGGCTCGGCGGGGCTGAAATCCCCCCACACAGTGC 1198 TCATGTGCTCACACTGCCTTTAGGGCTCTTT IGLV3-1_chr22:23223177-23223277 CATCCCTGGATCTGTGTCCAGGCCAGGCACGTGGGAAGATTTACTTGGAGTTCAGCTCCTCAGTTTCAAGC 1199 CTTTTCTCTCCCGTTTTCTCTCCTGTAGG IGLV3-1_chr22:23223277-23223377 ATCCGTGGCCTCCTATGAGCTGACTCAGCCACCCTCAGTGTCCGTGTCCCCAGGACAGACAGCCAGCATC 1200 ACCTGCTCTGGAGATAAATTGGGGGATAAA IGLV3-1_chr22:23223327-23223427 CAGGACAGACAGCCAGCATCACCTGCTCTGGAGATAAATTGGGGGATAAATATGCTTGCTGGTATCAGCA 1201 GAAGCCAGGCCAGTCCCCTGTGCTGGTCAT IGLV3-1_chr22:23223427-23223527 CTATCAAGATAGCAAGCGGCCCTCAGGGATCCCTGAGCGATTCTCTGGCTCCAACTCTGGGAACACAGCC 1202 ACTCTGACCATCAGCGGGACCCAGGCTATG IGLV3-1_chr22:23223527-23223627 GATGAGGCTGACTATTACTGTCAGGCGTGGGACAGCAGCACTGCACACAGTGACACAGGCAGATGCGGA 1203 AGTGAGACAGAAACCAGCCACCTCGGCCTGG IGLV3-1_chr22:23223627-23223727 CTCACAAGACCCTTCCCTCTCTCCTGCCCTGTCACACTGAGCAGGAGGGAGCCTTCCATGTGGAATGGAA 1204 GTTTCCAGTCCTATCCCTGCCCTTATGTTC IGLV3-1_chr22:23223727-23223827 CTGAGAGACGGGAGCAAGTTCCTGCCCACCTCTAGGCTCAGCTTATCCCAGAATAAACTGAGCTAGTCAT 1205 TTTGATGATCAAATGCCAGCTCCCAAAAGA IGLV3-1_chr22:23223827-23223927 CCCCAGAAACCCTGATATCTAAGTAGCACCGACTCTATTAGTATCAAGGGAGACTAGCCCTAGGGTGGAA 1206 TCATTTTAGTGTCTCAGAAGGCACAGGGCA IGLV3-1_chr22:23223927-23224027 ATGGAAAGTGTTTATGAGGTTTCAGGATATGCACGTGAGCAGTTAAAGGCAGGTCTTACAACGAACGAA 1207 CCTACTAGAATTGGGGCCCATCTGTGACATC IGLL5_chr22:23227062-23227162 ACATCCCTCTGCTTTGGGAGAGAAGGGCCAGGGCGGGACCCAGAGAGCTCTGCAGAGGCACCACAGACC 1208 CTCAGCAGGGGGTCTGCCAAACAGGACAGCT IGLL5_chr22:23227162-23227262 GGACTTGGCTGCTTCTGCCCAGGCCTGGATCCAGCCCTTGCACATCTCAGGGCAGGGGATAGGCCTGGGT 1209 GGCCAGAGCTGCAGCTGCACCTGCTGGGGA IGLL5_chr22:23227262-23227362 GGCCTAGTCCACTCCTCCAGGGTCCCCAGACAGACTCGGATTTCCGACTGCAGCCACCATGGAAGGATGT 1210 GGTCTGCGGTGACGATGTCTATCCAGAGGC IGLL5_chr22:23227567-23227667 CCGAATATCCAAGGAGCCCAAGATCAGAGGCAGGAATAGGCCAAGCTCCCCAGTGGAGAAGCTGTGCTG 1211 GACCAGGGGTTTCCCAGGGCCCTCCCTTGTG IGLL5_chr22:23227667-23227767 CCCTGAATGATGTCTGTTAGGGCACCTACACCCTGTTACTGCTCAGTGCCTTGCCTATTTTGAAGGACAGG 1212 GATGTGTGGTGATTATTTGTATAATCCAG IGLL5_chr22:23227767-23227867 CCCCCAGCACCTGGTCCTCAAAAGTTACCCAAGCAATGTGTATAAAGATCCAGCCTGGAGATCTTTGAAA 1213 ACCGATTCGATGAGTCGAACCATTAAGTCA IGLL5_chr22:23227867-23227967 TGATCACCATCCTCAACTTCATCTCTTTTCTTCCTCCTCCTCCTCATTATCATCACCTTCAAGAACTGTTAAG 1214 AGTCTGAGACTTCATCCTATTTGCAGAC IGLL5_chr22:23227897-23227997 TCCTCCTCCTCCTCATTATCATCACCTTCAAGAACTGTTAAGAGTCTGAGACTTCATCCTATTTGCAGACTA 1215 AAAAGTAAGCCTGCCACAGTGCCATGGA IGLL5_chr22:23227997-23228097 TGCTGGCAGAAGATACAAGACTCCTGGGTCAGAGACAACGAATAATCTGTTTTTCACAGCAATAGCAGTT 1216 GCCAAGGTATCAGCATTGTCTTGCACCAGT IGLL5_chr22:23228097-23228197 TCCACAAGGTGATGCAAAGAGGGCCAGGTGACATCTGCATGCCAGAGCTCAGGGATCCCAAATATTTCAT 1217 ACTTGACAGTAAGCATATATCTGTGTTTTG IGLL5_chr22:23228197-23228297 CTCCAAAGAGAGGCATTCTCTGTACCTTCCGAGGTTGTTCACTCCACAAACACTCTTGAAAAGATAATCCA 1218 CAATCAGTGCCTTTGCCCGAGAGACATGC IGLL5_chr22:23228297-23228397 AGAAATGCAGAGATCCATAGTAGACCACTGTCTCCCAACAACCATCAACTTTATCAATGAAATGAAGTCT 1219 CAGGCTATTTGTCTGTTACCATAGCCCACA IGLL5_chr22:23228397-23228497 AAAATGTCTGGCTTGATTGTCACCAAATGTATCAAGGAAGTTAAGGAGTATCTGACACAAAATGTGAACC 1220 AAGCAATTCTCAAAGGAGCCTCCCAGCAAA IGLL5_chr22:23228497-23228597 TTCACTTTAGGAAGTCCTAGCAGGCTCCTCTGAGAGTTGCTAAAACAAAACATTGAGAGTCCTAGAGGGC 1221 TGCAGATCTGAACTTGAGCAGATATTTTTA IGLL5_chr22:23228597-23228697 AAGATTTTGTGGCAGAAAAAGAAACTGGAAAGCAAGAGGGCAGACCCTCATTGCAGTTCTGTAATGTAA 1222 GGGGGCAGAGCAGGGGCCTTTCTCACCAGAG IGLL5_chr22:23229332-23229432 GATATTGGACCCTGCATTCATCTTCTCTGGATGGTAATTTTCTCACCTGTAAAACAGAGACACTGGCCCCA 1223 AGGACACCCCACAAGTAGTTGTGAATCCC IGLL5_chr22:23229432-23229532 AAAGTAAGAGAAGAACAAAAAAAGAACCAGAATTTATTCAACACCCACTGAGTGCTTAGCAAACACATG 1224 GTTTCTTTAACTCTCATAAGCTTCATGCTGC IGLL5_chr22:23229532-23229632 AGAGGAACTCTCCCCATTTTACAGATAAGGAAACTGAGGCCCAGAGGTAACCTAGGTCTAGATAGACTCC 1225 ACATTTATGACTTCACCACTCTTCCTTGCC IGLL5_chr22:23229562-23229662 AAACTGAGGCCCAGAGGTAACCTAGGTCTAGATAGACTCCACATTTATGACTTCACCACTCTTCCTTGCCT 1226 GAAGGATATAGAATCACTCCCTGCAGGGC IGLL5_chr22:23229662-23229762 TCTTGCCTGACTCAGGAAAGGGCCACAGGATAGCCAGCCAGGCTTAACCAACCCAGCCAAGAAAGGGCT 1227 GGTCCCAACTGGCTGGAGTGCAGTGTACAGG IGLL5_chr22:23230012-23230112 GTTGGTAGATGCCCCTCTGGGAGAGATCCCCAGGGGTGACAGCCATGGACCCTGGAAGGGCCTGGGCTA 1228 GGGACAGGGACCAGAGCCAGTCCAGGGAGAG IGLL5_chr22:23230112-23230212 GACAGAGCCAATGGACTGGGGTGTACTGTAACAGCCCTGCTGGCGAGAGGGACCAGGGCACCGTCCTCC 1229 AGGGAGCCCATGCTGCAAGTCGGGCCAGAGG IGLL5_chr22:23230212-23230312 TGCCCCTGAACCTGAAGGCCAATGAGACCCAAGACAGGCCAAGTGGGTTGTGAGACCCCTGAGGAGCTG 1230 GGCCCTGGTCCCAGGCAGCGCTGGCCCCTGC IGLL5_chr22:23230312-23230412 TGCTGCTGGGTCTGGCCATGGTCGCCCATGGCCTGCTGCGCCCAATGGTTGCACCGCAAAGCGGGGACCC 1231 AGACCCTGGAGCCTCAGTTGGAAGCAGCCG IGLL5_chr22:23230412-23230512 ATCCAGCCTGCGGAGCCTGTGGGGCAGGTAAGGGGCAAGAGATTCCAGGGGATGTGGGGGTCCTGCAGC 1232 AGAGCTGGGAAAGGGTGACCAAGGGGAGACA IGLL5_chr22:23230512-23230612 AGCCAGAGGAGTGAGGAGGAAGGTTAACCCCTAAGAGGGGCCTGGGCTGACACTGGCTTTAGTAATGGG 1233 TTGATATTTTGTCCATCACAGATTTGTTTGA IGLL5_chr22:23230612-23230712 ATTACTGTTTTTAATATCATATTACGATATTATTTTTCTTGATTTCTGAGTTTTCTGGCGCCACTTAAATTT 1234 TCACCAGGGTCAGTGCCTCAATCACCTA IGLL5_chr22:23230712-23230812 GTCCTAGTCCTCTGGGTAGGGAAGGAACAGAGGCAGGGACAGGACATCCACAGGGGGTGGTGGCCACTG 1235 TCCCCACAGGGTGCCCAGGCCTGTTCCTCCC IGLL5_chr22:23230812-23230912 CCTCCTCCTCTCTGCCCATGTGCCTCCTGCCCAGTGAGGGCAGGGGCCACTCCCTGGAGAAGGCAGCAAG 1236 GGCTTGGTTTGGTCTCCCCCAAGGCTGTCT IGLL5_chr22:23230912-23231012 GTTCACCAACTTGCACATAAATGCTTACTGGGGCCAGGCTCAAGGACACAGGGAGGGTGGGATGAACCG 1237 AGGGGAGCTGTCCAGTCATTGGAACAGGCCC IGLL5_chr22:23231012-23231112 ACGGCCCATGTTTGGAGCAATAAAGGGAGAGGGGATCTCCCTCTGGGATGATGCCCAGGCTGGTCTCACA 1238 GATCGAGGGGCACTGGCTGGTGATGGGTGC IGLL5_chr22:23231072-23231172 TGGTCTCACAGATCGAGGGGCACTGGCTGGTGATGGGTGCCCCCAAAAGACAGAGCAGCGTCAGAGGAG 1239 AGGAGAGCACAGGATGAGGCTGGGAGCTCCT IGLL5_chr22:23231172-23231272 GGGTGACTGGGAAGGGGAGGCAAGAAGACCATAGGGTCCGTGCACCATTCCCAGTCCAGGACGAGTCCT 1240 TGGATGGATTTAGGTAGATTGATTATCAGAG IGLL5_chr22:23231272-23231372 TCAGATTTGTGTTTTTGGAAAAATCAGCACCGGATTGGAGGCTGATGCGACGCCCGATTAGAGGAGGGAG 1241 GAGAGGGGGTGATGGCCAAGTCCAGGGTAG IGLL5_chr22:23231372-23231472 GTGGGGATCCTGGAGGAAGCCGTGCCTTGGGGATGGGGAGGACACTCAGATTCAGAGCACCCAGGCGCC 1242 CAGTTTCCTATGAAATGGGAGCATGAAGTTG IGLL5_chr22:23231472-23231572 AAGTGAGGGCTGAGCAGAGGGGAGCAGACACGCTCGGGGACTGTCTATGGGCATTAAAAATGTATAACC 1243 ATTTTAGCAACAGGCGGCGAGTCAAAAAACA IGLL5_chr22:23231572-23231672 AAGTGTGTTTATCTAAACTGGGCAATTCCACTTCTAGGAATTTATCCTAAGGGTTGGTTGGGGGAATAATC 1244 AAAGCTGTAACCAAATCTTTATAACAAGG IGLL5_chr22:23231672-23231772 GTGGTTAGCTCAGCATTATTAGTGATGGGAGAAAACTGGAAAAAATCCAAATATCTACCAGAAAGGGTGT 1245 GAAAAAACACAATTGTATTTGGGGGACTGT IGLL5_chr22:23231927-23232027 TGGCTAATTTTGATTAGGATTATTATTAGTTTAGAGACAGAGCCTCGCTATATTGCTCAGGCCTGTCTCAA 1246 ATTCCTAAGCTCAAGCAATCTTTCTGCCT IGLL5_chr22:23232062-23232162 ACTGCACCTGACCCAACTGTGTTTTTAAAGTATATATGCATTTTCAAAAACCTGTCAGAAAATATAGAAAA 1247 ATGTCAATGGTGTGTCTGGCTGGCTGATG IGLL5_chr22:23232162-23232262 GGATTTCACCTAATTTTAATGTGGCTTTATAATTTCTGCTTTTGTGAAGTTGTTCACAAAAAGAGACATT 1248 TCTTCTAATATAATTTTTAATACAACAGT IGLL5_chr22:23232262-23232362 AATGTACTCATGTGCATTACTCTTTTTGTAATGACTATATTACAAAATGTAATGACTTTTGTACATTACTCT 1249 TTTTTCTTGCCAAAAAAAAAAAAGATTA IGLL5_chr22:23232362-23232462 ACCACAGAAGTATATAAAGTAAAAGCAAGTGCTTCTGCTTACCATCTCTCACCTCTTCCCAGAGATAGCC 1250 ACTGTCAGGTTGGTCAATATACTTCCAGAA IGLL5_chr22:23232462-23232562 CTTTTCCTGTGTGTGTGTGTGTCCCTGAAAACACACACACACACACACACACACACACACACAGTTGGTGC 1251 TGGGATTTTATTTTGCAAAAGTAAGAGCC IGLL5_chr22:23232517-23232617 CACACACAGTTGGTGCTGGGATTTTATTTTGCAAAACTAAGAGCCATATTCTGCATATTACCAACTTTTAA 1252 TCTATTATTGACACTTTCTGTATCAGTCC IGLL5_chr22:23232617-23232717 ATATGGATTAACCACATTCATTGCTTATAAACTTTGTTTTATAAGCAAAGTTTAGATGAGCCAGAATTTAT 1253 TTCCACTAAAAAATCTAAATGACAAATGA IGLL5_chr22:23232717-23232817 TGCTGCAGTGGAAATTTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTATGTGTAC 1254 AAAGTGCACTTATATATCTCCCCAGGATA IGLJ1_chr22:23234612-23234712 TGACCTGGGTGTTTTTCTTTTTCTCTGTAGGATGTTAATAGTATCTTGTGTCATGCTAGGATGTCTAGGAC 1255 AGAGGGCAATACAATGAGGGGAAGGCATT IGLJ1_chr22:23234712-23234812 CTGCGATGTCCCCAGGCCTCTGGCTTGAAGAGTAACTTGCTGAAGTGAGGACTCTGTGGAGGAGCAAGTT 1256 ATACAGAAAGAAGTTTAGTTGTGATCTGTT IGLJ1_chr22:23234812-23234912 GAGTTGGAGGTGTCTACAGGGCATCCAAGCAGACATAGGTTGAGGAGGCAGAATATATGTGAATCTGGA 1257 GCCAAGAAGAGAGGTAAGGGCTGGAAATAGG IGLJ1_chr22:23234912-23235012 GATCTAAGACCCCTGGACAGTTGTGAGTGTGCACAATGAGGGTCAGATGCAGAGAAAATTAGGAGACTA 1258 CAGAGAGCAGAACCCAGGGTGGGGATCTGGG IGLJ1_chr22:23235012-23235112 AGTCAGCAGTTGGGCATCGGCCTGGTAGAAAGGGAAGCCAAGGAGGAGGAGAGGGGGCAGTCTCAGAC 1259 ACCAAGGAGGGGAGAGTGACTAGAAAGAAAAC IGLJ1_chr22:23235112-23235212 CTTCTTGCAGAGACATAGGGGATGGGGAAGAACTGCAGACTGAACTGGGGCAAAGGACTGTTGGCCTTA 1260 ACCAGAGAGATTTGAGGGAGAGATGAGGCTG IGLJ1_chr22:23235212-23235312 AGAGCCAGGGGATCCTGCCATGTCCCAGCATAAAAACAGTACCTGACACAGATGGGTGCTTGGGAGCTGT 1261 TGTCGGATGAATGAGTGGACAGATGCATGG IGLJ1_chr22:23235312-23235412 ATGGACGGATGGATGGAAGGATGATAGATTGATGGACAAACAGATGAACAGATGAATAGCTGGATGGAC 1262 AACTGGATGGATGGGTAGACAGAATGATCTC IGLJ1_chr22:23235412-23235512 AGAGATCAGAAAAAGCTTCATGCACTAAGTGGGACTGAACCGCGTCTCCATGGGTAGAAAGCAGAGGAA 1263 TCTCCACTTGAGTCAGGAATGACCCAGTGCT IGLJ1_chr22:23235512-23235612 CTCAATCCAGGGAGAAAGCCAGCCTGGCTTCACTGGGGACACTTGTGTGGGGGACTCAGAGGCCCTTTAA 1264 ATGAGGCCAGACGAGGTTGGACAGGTCCAA IGLJ1_chr22:23235612-23235712 GCCAACTCAGCACTCCTCTGCCACACTGCACAGGAGGGGATGTGTCACTCAGGGAGTTGCTGGGACCTAT 1265 GGGTCCCAGTGTTGTCATCAGCACCGACAG IGLJ1_chr22:23235712-23235812 CCTCAGAGAGGAAAGACACACACTGGGGTAACTCCAAGGCTGTGTGTGGCACTTGCCTTGGACAGCAGAC 1266 AGGCACAGGGACACCTCTAGGGGGCTGGCC IGLJ1_chr22:23235812-23235912 ACCCCCCTGCCTCATGTCTAGGTCCCAGCCCCGCCCACTGCAACCCTGTGCCCGTCATGCCCAGCAGGCTC 1267 CTGCTCCAGCCCAGCCCCCAGAGAGCAGA IGLJ1_chr22:23235847-23235947 CACTGCAACCCTGTGCCCGTCATGCCCAGCAGGCTCCTGCTCCAGCCCAGCCCCCAGAGAGCAGACCCCA 1268 GGTGCTGGCCCCGGGGGTTTTGGTCTGAGC IGLJ1_chr22:23235947-23236047 CTCAGTCACTGTGTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAGGTAAGTGGCTCTCAACCTTT 1269 CCCAGCCTGTCTCACCCTCTGCTGTCCCT IGLJ1_chr22:23236047-23236147 GGAAAATCTGTTTTCTCTCTCTGGGGCTTCCTCCCCTCTGTCCTCCCAGCCTTAAGCACTGACCCTTACCTT 1270 TCTCCATGGGGCCTGGAGGAGGTGCATT IGLJ1_chr22:23236147-23236247 AGTCTCCGGGTAACCGGCAGGAAGGGCCTTCCACAGTGGGAGCAGCCGGATGCAGCCTGGTCCCGGGGCC 1271 TGAGCTGGGATTGGGCAGGGTCAGGGCTCCT IGLJ1_chr22:23236247-23236347 CCTCTCTTCCAGGGCAGATGTCTGAGTGAGGGACAGAGGCTGGTTCTGATGAGGGGCCCTGCAGTGTCCT 1272 TAGGGACATTGCCCAGTGACTCCTCGGGTC IGLJ1_chr22:23236247-23236377 GGACAGAGGCTGGTTCTGATGAGGGGCCCTGCAGTGTCCTTAGGGACATTGCCCAGTGACTCCTGGGGTC 1273 AAGGACAGAGGCTGCTGGGGTGGGCCTGGG IGLJ1_chr22:23236377-23236477 AGCTGCTGAGTCTCATAGTCTAGGGGAGCAGCCCCAAGAACAGCTGAGGGTCTAGGCTGAGGACTGGAT 1274 GCCAATCCAGCCTGGGAGGGCCACACGGCCT IGLJ1_chr22:23236387-2323648 TCTCATAGTCTAGGGGAGCAGCCCCAAGAACAGCTGAGGGTCTAGGCTGAGGACTGGATGCCAATCCAGC 1275 CTGGGAGGGCCACACGGCCTGGTGACACAG IGLJ1_chr22:23236487-23236587 AGGTCACCCCAAGGGGAGACCAATGGAGGGCACAGAGAGGGCTCTGGGTCTAGGCTGCAGCTCTGTGGC 1276 CTGTGCTGGGTCATGAGGACATGGGGACACA IGLJ1_chr22:23236557-23236657 TGTGCTGGGTCATGAGGACATGGGGACACAGAGGGACGGGTGAGACTGGGTGAGGTGCCAGAATCCAAC 1277 CCTCCCAGGACAGTCACCAGAAAGGAGACAG IGLJ1_chr22:23236657-23236757 TCTCTTAGGGCAGAGATGTGTCTGTCCCTGGAGCCCCGTCACCTCTGGGGCCCAGTGTCTCTCTGTTGACG 1278 GATCGGCCTCCTGCCTTCCTCAAAGGGCA IGLC1_chr22:23236757-23236857 TGTTAGACTCAGGAAATGACCAGAGGGGAGTGAATGAGGGGTGCAGAGAACTCCATGGCTACCAGGTGA 1279 AGTTTGGGGTCATCACAGGCTGCTGGGGTGG IGLC1_chr22:23236877-23236977 CATAGTCTGTGGGAGCAGCCCCAGGAACAGCTGAGGTGAAGGGTTCTGTGGTCGGGCTTGTGGAGACAG 1280 GAAACATCTCAGAGCCTCAGAGCAGCCCTGA IGLC1_chr22:23256977-23237077 GGCTTGTCTAGGTGGAGCCCACTCCTTGCCAGGAGAGCCAAGTGGGCTGGGCTGGGGCAGAGCCCGGTGC 1281 CTGTGAGCGATAGCAACCTCCAGTTCAAAG IGLC1_chr22:23237077-23237177 CAGGCTTGGGTCTCCCCACACACTGCCTGCCAGGACAGTCCTACAGGATGAGCAGGGGACCCACAGTTCA 1282 CGGAGGAGGCTCTAGGTCCTGGAAGAATAA IGLC1_chr22:23237177-23237277 AGTGGGTGATGGAGGGGGGTATAGGGATGGAAATGAGGGATCCAGGGGTCAAGGCCAGATTCTAAACTC 1283 AGACTCCAGAGATCAGAGAAGAAGGAACACA IGLC1_chr22:23237277-23237377 GCCTGCCCTGGGTATATGGAGAAATTGAGGCTGTAGAGGAGAGGGGCTGGGCCAGGACACCTGTGAAAG 1284 GTGACTTGGGAGGGCTCCTAGGAAGGCACAG IGLC2_chr22:23242602-23242702 TGAAAGCCCCACTGCTATGACCAGGTAGCCGGGACGTGGGGTGGATGCCAGAAAAGACTCCACGGAATA 1285 AGAGAGAGCCCAGGACAGCAGGCAGGCTCTC IGLC2_chr22:23242702-23242802 CGATCCCCCCAGGCCCTTGCCCCATACACGGGCTCCAGAACACACATTTGGCTGGAACAGCCTGAGGGAC 1286 CAAAAGGCCCCAGTATCCCACAGAGCTGAG IGLC2_chr22:23242802-23242902 GAGCCAGGCCAGAAAAGTAACCCCAGAGTTCGCTGTGCAGGGGAGACACAGAGCTCTCTTTATCTGTCAG 1287 GATGGCAGGAGGGGACAGGGTCAGGGCGCT IGLC2_chr22:23242902-23243002 GAGGGTCAGATGTCGGTGTTGGGGGCCAAGGCCCCGAGAGATCTCAGGACAGGTGGTCAGGTGTCTAAG 1288 GTAAAACAGCTCCCCGTGCAGATCAGGGCAT IGLC2_chr22:23244157-23244257 ATGCAGGAGAGTCCGGAGAGGGAAATCAGGAGAAGTGAAGGGGTCTCTGGGGAGCCCAGATGTGGGCTA 1289 GAGGCAGAAGTAAGGGTGAAGAGCACCTATG IGLC2_chr22:23244257-23244357 AGTCAATGTCATGGTCTCAGCAGGAACACAGTTGAAAATCCGCATTCCACACAAGACCGTTTAGCAGGAA 1290 AGGAGTCCATACTTGTGCTGCCACCAGGAT IGLC2_chr22:23244357-23244457 GTCCTGAGAAGCCTTGGAGAATGAAACATACAGGTGCATTTCCTAGACTTGACAATGCACGTTAGCCAAG 1291 TAAAGGCAATGAAAAGTTCTCTACTAGGGA IGLJ3_chr22:23247257-23247357 TTTGTTTGTTTCTGTATCTTGTCTCAACTTGTGGTCAGCCTTTCTCCCTGCATCCCAGGCCTGAGCAAGGAC 1292 CTCTGCCCTCCCTGTTCAGACCCTTGCT IGLJ3_chr22:23247357-23247457 TGCCTCAGCAGGTCACTACAACCACTTCACCTCTGACCGCAGGGGCAGGGGACTAGATAGAATGACTGAC 1293 TGAGCCTCGTCTGTCTGTCTGTCTGTCTGT IGLJ3_chr22:23247467-23247567 CTGTTTGTCTCTCTGTCTGTCTGACAGGCGCAGGCTGGGTCTCTAAGCCTTGTTCTGTTCTGGCCTCCTCA 1294 GTCTGGGTTCTTCTCGGAACAGCTTTGCC IGLJ3_chr22:23247567-23247667 CTTGGGTTACCTGGGTTCCATCTCCTGGGGAATTGGGAACAAGGGGTCTGAGGGAGGCACCTCCTGGGAG 1295 ACTTTAGAAGGACCCAGTGCCCTCGGGGCT IGLC3_chr22:23248182-23248282 AGAGTTCGCTGTGCAGGGGAGACACAGAGCTCTCTTTATCTGTCAGGATCGCAGGAGGGGACAGGGTCA 1296 GGGCGCTGAGGGTCAGATGTCGGTGTTGGGG IGLC3_chr22:23248282-23248382 GCCAAGGCCCCGAGAGATCTCAGGACAGGTGGTCAGGTGTCTAAGGTAAAACAGCTCCCCGTGCAGATCA 1297 GGACATAGTGGAAAACACCCTGACCCCTCT IGLC3_chr22:23248382-23248482 GCCTGGCATAGACCTTCAGACACAGAGCCCCTGAACAAGGGCACCCCAACACCTCATCATATACTGAGGT 1298 CAGGGGCTCCCCAGGTGGACACCAGGACTC IGLJ7_chr22:23263872-23263972 AGAATATTCCGTGAGAAGGTGGCCCCACAGCGCTGGGTCACACGCCATCCCCCAAGACAGGCAGGACACC 1299 ACAGACAGGGTGGTGGGTCTCAGAAAACTC IGLJ7_chr22:23263972-23264072 AGGCCCTAAACGTGGATGCTTACCAATTCCTCCACTGGAGGAAGACCTCAGAGCAGATGCCCAGGACAGG 1300 GACTTCTGGTAGGGACGGTGACTGGGACGG IGLJ7_chr22:23264072-23264172 GTGCCTGTTTGTCAGGGAAAACCCACTGGAGAGTCAGATCCCCCAGATAACTTCTCACGACATGGAGACT 1301 CTTTCGAACAGACAAAGCTCCACGTTCAGC IGLC7_chr22:23264172-23264272 TCAGGGAGTAAAAAAAAAATGCCTCAAATGGAGGCCTTTGATCTACTGGAATCCAGCCCCCAGGACTGAC 1302 ACCCTGTCTCACCAGGCAGCCCAGAGGGGT IGLC7_chr22:23278157-23278257 CAGGGTCCACCAGAAGGCATCTCAGAACCAGCCAGCAGTGGCCCTGATTGTCAGCAGGACCCCAGGGAG 1303 GGGGGTGGCCAGGACAGGGCTCTGAAGCCCC IGLC7_chr22:23278257-23278357 CACCCCAGGACCTTCCCTGGGCAGAACGAGTTGGTGAGGGAGTGATCAGCAACCACAGGCCTCCTAACTT 1304 CCCAAGCTGGCGATTCTGAGAGGCCTCAAG IGLC7_chr22:23278357-23278457 GCTGAGACACGCTTCAGCCTTTTAGGCCCTCCTGAACGTGTCCCCTGTCTCCACAGCCTGGGAATGCACTC 1305 TCTTTTGACCCAGAAATCCTGCTCATAAG IGLC7_chr22:23282767-23282867 CTGTCATTGTACAACACATCATTTCACTTTGTTTTTCAAACATAGTGAATTCTTTCCTAATTAAAGAAGAA 1306 AAGAGTATAAAGAGAAAGTTTCCAGTGCA IGLC7_chr22:23282842-23282942 GTATAAAGAGAAAGTTTCCAGTGCAGCCTGGAGATCTGTACTGGTTGTATCTGGAATTCCAGACTCAGCC 1307 TTGCATTTCACATAGCAGATAGATGATGAT IGLC7_chr22:23282942-23283042 GATGGAGAAGGAGAAGAAGAAGGAGGAGGAGGAGGAAAGAAGGAAGAAGAAGAAGAAGAGGAGGAGG 1308 AAGAAGAAGACGAAGGGAAGAAGAAGAAGGATG TBC1D22A_chr22:47570209- TCCAGGTCTGCCAGGTGTAGGGGAGGTGTGACTGGTTCCATCATGGACCGGTTCCTCCATGGACCGGTTC 1309 47570309 CTCCGTGGACCGGTTCCGCCATGGACCGGT TBC1D22A_chr22:47570309- TCCGCCATGGACCACTCCTGCCCTGGACCACTCCTGCCCTGGACCGGTTCTGCCGTGGACTGGTTCCCGCC 1310 47570409 GTGGACCAGTTCCCGCTGTATACTGGTTC TBC1D22A_chr22:47570409- TGCCCTGGACTGGTTCCCGCTGTGGACTGGTTCCTTGGGGCTCTAAGTGCGGAAGGGCCCAGAGCTGGTC 1311 47570509 CCTGCCCAGCGCCCTGCTAGGGCTGTGTCC TMSB4X_chrX:12993264-12993364 TCGTACTCGTGCGCCTCGCTTCGGTGAGCCCCAGGGCCCCTGCCTCCTTCCTCCTGCCGTCCTGCCTCCGT 1312 CCCCGCCCTTTCATCATCCGCGTCCCTGT TMSB4X_chrX:12993364-12993464 GAAGGCATTCCCTAAATCCGAGCCCGAGTGGTTCTCCCCGGGAAGGCTACTTTGGGGAGCTGGGGGGATG 1313 CGAAACACCCTAGATACTGGATAATGGGGT TMSB4X_chrX:12993464-12993564 GGGGAAATCGATGATTTAAGAACAAAACCGAAAAACTGGCGTTTTGCCGTGCCGCTCGGAGGGGACATT 1314 AAAAAATTTCTTAGTGTTTGCCCGCAAAGGT TMSB4X_chrX:12993544-12993644 TAGTGTTTGCCCGCAAAGGTATTGTGCGTTGCCTTGGAGGCTGAGATATGGGGGAATAGACAAGTCCTTT 1315 GTTCTGAGGTTCATCTTCCGAGCCCCGAGC TMSB4X_chrX:12993644-12993744 CTCCTCCCAGCCTCGGACGGCTGCGCGGGCTGCATCTGTGCAGCCTGGCGGCGGCGGGGCTGTGCTATGA 1316 CATCTTTACAGTCCTTCTTGCAGAGACATG TMSB4X_chrX:12993744-12993844 TGTGCCAGGGATGCCGAATTGCCGGGAGAGCAGGCAAGACCGGCTTCGGGGCGCGCGGCGGCCGCTTTG 1317 TGTGCGGGGCTGCATTGTGACGCGGGCGATG TMSB4X_chrX:12993844-12993944 AAGCCGGTAGGGCGGTGGTCGGAAGCTCCAGCCGCGGCCGCCGCCTTTGTGAGAGGACTAGAAAGCCGG 1318 ATCCGGCCCGCATCCTTGCGGAGAGGCCGCG TMSB4X_chrX:12993944-12994044 GCTAGGAAATGGAAACGCTTTTCCTACCTGGGCTCCATTTTAGGAATTCTTGCCGATTTTTCCCACTTGAA 1319 TTTGGAAGTGGCTTTCCTCTTCTTTCCTT TMSB4X_chrX:12994044-12994144 GTCCTAGCCAGCCTTTAATTTTAAACGCTGTAATTAACAATTCGCAGTGGTCAATTTCCTTTATTCTGCAA 1320 GATTCGGCTTTGAGAGGCATCCGCCCTCT TMSB4X_chrX:12994144-12994244 TTGGTCCACAGCGTTTTGAAATATGGGGAGGAGGGGCGCGGGGGGTGTCGCCTTTTTTTTCTGTAGAAAGA 1321 GGAAGCTCGTGAGCGCGGAACGGCAGCAGT TMSB4X_chrX:12994289-12994389 AAGTCCACTTCCCAGCCCACAGACAGCGGGGCGCGTGGCTCTTCCTCACGCTCGCTCTTGGCTTGCTCCCT 1322 GCAGCTTTTCCTCCGCAACCATGTCTGAC TMSB4X_chrX:12994389-12994489 AAACCCGATATGGCTGAGATCGAGAAATTCGATAAGTCGAAACTGAAGAAGACAGAGACGCAAGAGAAA 1323 AATCCACTGCCTTCCAAAGAAAGTGAGCTCC TMSB4X_chrX:12994444-12994544 AGACGCAAGAGAAAAATCCACTGCCTTCCAAAGAAAGTGAGCTCCGAGCCACCCCCATCTTTAGAAAGGC 1324 TGGGTGGGAGCGGCCGGTGGGAGGGCGGGA DMD_chrX:33146106-33146206 TTTATAGAAAGGCATATCGAACAGGAGTCATCCAAATATATCCCAGGGGTTGCAAATTGACCAAAAGAGT 1325 CACCTTTAGGGAAGCCTGCTTCTGAATGCT DMD_chrX:33146206-33146306 TGTGGAATTTATCATTCTTCTGAATGGCTGTTGCATTTATCTGCAGCTTTTACTCACCAGATGAGACCTCA 1326 GACATTTCAAATTCTGCGGAGGCTGGCTA DMD_chrX:33146306-33146406 CACACCTTCATAGGAAAGCTTTTTGCTGATTTCCCTGTTGGTACTTTTCTCTTACACATTCTATGGGGTATG 1327 GTAAACCTGGAGGTAGAGTCATAGCCAA DMD_chrX:33146406-33146506 GCACAGATAAAGCAGGCACAGAATCTCTGACCAGCCTCACAAAAGCAGACAAACACACAATCTTTTTGCA 1328 CCTGTTTCTTCCACTCCGGTTGCCGTGAAT PABPC5_chrX:90026453-90026553 TAGAAATGGTTCAACCAGTCCAATATCAATATAGCTGCTTATTACTCTATTCACTTACTTCAAAGTGGCAT 1329 TTGTTTTGAGTAAGACTTTATTTAATTCT PABFC5_chrX:90026553-90026653 TACCGTTAGCTTGAAACCATAGAGATCTTCTCTCTATTTGCCCTACTTCCTTCAAAAGTCAAATGACCTCC 1330 TACAAATAAAAGACGTTCTTATTTTCATT 

1.-3. (canceled)
 4. A computer-implemented method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules that-is-obtained or derived from a subject; (b) processing, by the computer system, the sequencing data to (1) identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide, and (2) identify one or more insertions or deletions (indels) relative to the reference genomic sequence; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules and the one or more indels to determine a condition of the subject. 5.-6. (canceled)
 7. The method of claim 4, wherein the one or more cell-free nucleic acid molecules are identified with a limit of detection of less than about 1 out of 1,000,000 observations from the sequencing data. 8.-10. (canceled)
 11. The method of claim 4, wherein the sequencing data is generated based at least in part on nucleic acid amplification or polymerase chain reaction.
 12. (canceled)
 13. The method of claim 4, wherein the sequencing data is generated based at least in part on amplicon sequencing.
 14. The method of claim 4, wherein the sequencing data is generated based at least in part on next-generation sequencing (NGS) or non-hybridization-based NGS.
 15. (canceled)
 16. The method of claim 4, wherein the sequencing data is generated without use of molecular barcoding of at least a portion of the plurality of cell-free nucleic acid molecules.
 17. The method of claim 4, wherein the sequencing data is obtained without use of sample barcoding of at least a portion of the plurality of cell-free nucleic acid molecules.
 18. The method of claim 4, wherein the sequencing data is obtained without in silico removal or suppression of (i) background error or (ii) sequencing error. 19.-126. (canceled)
 127. A computer program product comprising a non-transitory computer-readable medium having computer-executable code encoded therein, the computer-executable code adapted to be executed to implement a method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules obtained or derived from a subject; (b) processing, by the computer system, the sequencing data to (1) identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide, and (2) identify one or more insertions or deletions (indels) relative to the reference genomic sequence; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules and the one or more indels to determine a condition of the subject. 128.-225. (canceled)
 226. A method comprising: (a) obtaining, by a computer system, sequencing data derived from a plurality of cell-free nucleic acid molecules obtained or derived from a subject who has received an organ or tissue transplant; (b) processing, by the computer system, the sequencing data to identify one or more cell-free nucleic acid molecules of the plurality of cell-free nucleic acid molecules, wherein each of the one or more cell-free nucleic acid molecules comprises a plurality of phased variants relative to a reference genomic sequence that are separated by at least one nucleotide; and (c) analyzing, by the computer system, the identified one or more cell-free nucleic acid molecules to determine a presence, an absence, or an extent of transplant rejection of the subject.
 227. The method of claim 226, wherein (b) further comprises identifying one or more insertions or deletions (indels) relative to the reference genomic sequence, and wherein (c) further comprises determining the presence, the absence, or the extent of transplant rejection of the subject based at least in part on the identified one or more indels.
 228. (canceled)
 229. The method of claim 226, wherein the one or more cell-free nucleic acid molecules are identified with a limit of detection of less than about 1 out of 1,000,000 observations from the sequencing data. 230.-232. (canceled)
 233. The method of claim 226, wherein the sequencing data is generated based at least in part on nucleic acid amplification or polymerase chain reaction.
 234. (canceled)
 235. The method of claim 226, wherein the sequencing data is generated based at least in part on amplicon sequencing.
 236. The method of claim 226, wherein the sequencing data is generated based at least in part on next-generation sequencing (NGS)_or non-hybridization-based NGS.
 237. (canceled)
 238. The method of claim 226, wherein the sequencing data is generated without use of molecular barcoding of at least a portion of the plurality of cell-free nucleic acid molecules.
 239. The method of claim 226, wherein the sequencing data is obtained without use of sample barcoding of at least a portion of the plurality of cell-free nucleic acid molecules.
 240. The method of claim 226, wherein the sequencing data is obtained without in silico removal or suppression of (i) background error or (ii) sequencing error.
 241. (canceled)
 242. The method of claim 226 further comprising: (d) identifying the subject for treatment of the transplant rejection, based at least in part on the presence or the extent of the transplant rejection determined in (c); and (e) subjecting the subject to the treatment based on the identifying in (d).
 243. (canceled)
 244. The method of claim 226, wherein the plurality of cell-free nucleic acid molecules are donor-derived cell-free nucleic acid molecules.
 245. The method of claim 226, wherein the reference genomic sequence comprises at least a portion of hg19 human genome, hg18 human genome, hg17 human genome, hg16 human genome, or hg38 human genome.
 246. The method of claim 242, wherein the treatment is selected from the group consisting of an immunosuppressive drug, an anti-body based treatment, a blood transfer, a marrow transplant, a gene therapy, a transplant removal, and a re-transplant procedure.
 247. The method of claim 246, wherein the immunosuppressive drug is selected from the group consisting of a corticosteroid, a calcineurin inhibitor, an anti-proliferative, and an mTOR inhibitor.
 248. The method of claim 246, wherein the antibody-based treatment is selected from the group consisting of a monoclonal anti-IL-2Rα receptor antibody, a polyclonal anti-T-cell, and a monoclonal anti-CD20 antibody.
 249. The method of claim 226, further comprising monitoring the subject for the presence, the absence, or the extent of the transplant rejection. 250.-357. (canceled)
 358. The method of claim 4, wherein the reference genomic sequence comprises at least a portion of hg19 human genome, hg18 human genome, hg17 human genome, hg16 human genome, or hg38 human genome.
 359. The method of claim 4, wherein the reference genomic sequence is the genome from the subject.
 360. The method of claim 4, wherein the plurality of cell-free nucleic acid molecules is derived from serum or plasma of the subject.
 361. The method of claim 226, wherein the reference genomic sequence is the genome from the subject.
 362. The method of claim 226, wherein the plurality of cell-free nucleic acid molecules is derived from serum or plasma of the subject. 